Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2018 (2018), Article ID 3696457, 33 pages
https://doi.org/10.1155/2018/3696457
Review Article

DEMATEL Technique: A Systematic Review of the State-of-the-Art Literature on Methodologies and Applications

1School of Economics and Management, Tongji University, Shanghai 200092, China
2Institute for Manufacturing, University of Cambridge, Cambridge CB3 0FS, UK
3School of Management, Shanghai University, Shanghai 200444, China

Correspondence should be addressed to Hu-Chen Liu

Received 8 October 2017; Accepted 14 December 2017; Published 14 January 2018

Academic Editor: Marco Pizzarelli

Copyright © 2018 Sheng-Li Si et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. Gabus and E. Fontela, World Problems, An Invitation to Further Thought within The Framework of DEMATEL, Battelle Geneva Research Centre, Geneva, Switzerland, 1972.
  2. A. Mardani, E. K. Zavadskas, Z. Khalifah et al., “A review of multi-criteria decision-making applications to solve energy management problems: two decades from 1995 to 2015,” Renewable & Sustainable Energy Reviews, vol. 71, pp. 216–256, 2017. View at Publisher · View at Google Scholar · View at Scopus
  3. M. Zare, C. Pahl, H. Rahnama et al., “Multi-criteria decision making approach in E-learning: a systematic review and classification,” Applied Soft Computing, vol. 45, pp. 108–128, 2016. View at Publisher · View at Google Scholar · View at Scopus
  4. E. Falatoonitoosi, S. Ahmed, and S. Sorooshian, “Expanded DEMATEL for determining cause and effect group in bidirectional relations,” The Scientific World Journal, vol. 2014, Article ID 103846, pp. 1–7, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. H.-S. Lee, G.-H. Tzeng, W. Yeih, Y.-J. Wang, and S.-C. Yang, “Revised DEMATEL: resolving the infeasibility of DEMATEL,” Applied Mathematical Modelling, vol. 37, no. 10-11, pp. 6746–6757, 2013. View at Publisher · View at Google Scholar · View at Scopus
  6. G.-H. Tzeng, W.-H. Chen, R. Yu, and M.-L. Shih, “Fuzzy decision maps: a generalization of the DEMATEL methods,” Soft Computing, vol. 14, no. 11, pp. 1141–1150, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. İ. Gölcük and A. Baykasoğlu, “An analysis of DEMATEL approaches for criteria interaction handling within ANP,” Expert Systems with Applications, vol. 46, pp. 346–366, 2016. View at Publisher · View at Google Scholar · View at Scopus
  8. C.-Y. Huang, J. Z. Shyu, and G.-H. Tzeng, “Reconfiguring the innovation policy portfolios for Taiwans SIP mall industry,” Technovation, vol. 27, no. 12, pp. 744–765, 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. C.-W. Li and G.-H. Tzeng, “Identification of interrelationship of key customers’ needs based on structural model for services/capabilities provided by a Semiconductor-Intellectual-Property Mall,” Applied Mathematics and Computation, vol. 215, no. 6, pp. 2001–2010, 2009. View at Publisher · View at Google Scholar · View at Scopus
  10. G. H. Tzeng, C. H. Chiang, and C. W. Li, “Evaluating intertwined effects in e-learning programs: a novel hybrid MCDM model based on factor analysis and DEMATEL,” Expert Systems with Applications, vol. 32, no. 4, pp. 1028–1044, 2007. View at Publisher · View at Google Scholar · View at Scopus
  11. C. Lin and G. Tzeng, “A value-created system of science (technology) park by using DEMATEL,” Expert Systems with Applications, vol. 36, no. 6, pp. 9683–9697, 2009. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Azadeh, M. Zarrin, M. Abdollahi, S. Noury, and S. Farahmand, “Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis,” Expert Systems with Applications, vol. 42, no. 15-16, pp. 6050–6064, 2015. View at Publisher · View at Google Scholar · View at Scopus
  13. P. T.-W. Lee and C.-W. Lin, “The cognition map of financial ratios of shipping companies using DEMATEL and MMDE,” Maritime Policy & Management, vol. 40, no. 2, pp. 133–145, 2013. View at Publisher · View at Google Scholar · View at Scopus
  14. J. Sara, R. M. Stikkelman, and P. M. Herder, “Assessing relative importance and mutual influence of barriers for CCS deployment of the ROAD project using AHP and DEMATEL methods,” International Journal of Greenhouse Gas Control, vol. 41, pp. 336–357, 2015. View at Publisher · View at Google Scholar · View at Scopus
  15. W.-K. Tan and C.-Y. Kuo, “Prioritization of facilitation strategies of park and recreation agencies through DEMATEL analysis,” Asia Pacific Journal of Tourism Research, vol. 19, no. 8, pp. 859–875, 2014. View at Publisher · View at Google Scholar · View at Scopus
  16. M. N. Shaik and W. Abdul-Kader, “Comprehensive performance measurement and causal-effect decision making model for reverse logistics enterprise,” Computers & Industrial Engineering, vol. 68, no. 1, pp. 87–103, 2014. View at Publisher · View at Google Scholar · View at Scopus
  17. S. M. Seyedhosseini, A. E. Taleghani, A. Bakhsha, and S. Partovi, “Extracting leanness criteria by employing the concept of balanced scorecard,” Expert Systems with Applications, vol. 38, no. 8, pp. 10454–10461, 2011. View at Publisher · View at Google Scholar · View at Scopus
  18. G. T. R. Lin and C.-C. Sun, “Driving industrial clusters to be nationally competitive,” Technology Analysis and Strategic Management, vol. 22, no. 1, pp. 81–97, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. S. Tzeng, “Applying DEMATEL to investigate the relationship between factors affecting parole boards’ decision-making in Taiwan,” The Prison Journal, vol. 94, no. 1, pp. 118–136, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. W. Hwang, B. Hsiao, H.-G. Chen, and C.-C. Chern, “Multiphase assessment of project risk interdependencies: evidence from a University ISD project in Taiwan,” Project Management Journal, vol. 47, no. 1, pp. 59–75, 2016. View at Publisher · View at Google Scholar · View at Scopus
  21. H.-M. Chuang, C.-K. Lin, D.-R. Chen, and Y.-S. Chen, “Evolving MCDM applications using hybrid expert-based ISM and DEMATEL models: an example of sustainable ecotourism,” The Scientific World Journal, vol. 2013, Article ID 751728, pp. 1–18, 2013. View at Publisher · View at Google Scholar · View at Scopus
  22. K.-F. Chien, Z.-H. Wu, and S.-C. Huang, “Identifying and assessing critical risk factors for BIM projects: empirical study,” Automation in Construction, vol. 45, pp. 1–15, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. W.-W. Wu, L. W. Lan, and Y.-T. Lee, “Exploring decisive factors affecting an organization's SaaS adoption: a case study,” International Journal of Information Management, vol. 31, no. 6, pp. 556–563, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. W.-W. Wu, L. W. Lan, and Y.-T. Lee, “Factors hindering acceptance of using cloud services in university: a case study,” Electronic Library, vol. 31, no. 1, pp. 84–98, 2013. View at Publisher · View at Google Scholar · View at Scopus
  25. W.-C. Wang, Y.-H. Lin, C.-L. Lin, C.-H. Chung, and M.-T. Lee, “DEMATEL-based model to improve the performance in a matrix organization,” Expert Systems with Applications, vol. 39, no. 5, pp. 4978–4986, 2012. View at Publisher · View at Google Scholar · View at Scopus
  26. W.-C. Wang, C.-L. Lin, S.-H. Wang, J.-J. Liu, and M.-T. Lee, “Application of importance-satisfaction analysis and influence-relations map to evaluate design delay factors,” Journal of Civil Engineering and Management, vol. 20, no. 4, pp. 497–510, 2014. View at Publisher · View at Google Scholar · View at Scopus
  27. S. Cebi, “Determining importance degrees of website design parameters based on interactions and types of websites,” Decision Support Systems, vol. 54, no. 2, pp. 1030–1043, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. A. Yazdani-Chamzini, S. Shariati, S. H. Yakhchali, and E. K. Zavadskas, “Proposing a new methodology for prioritising the investment strategies in the private sector of Iran,” Economic Research-Ekonomska Istrazivanja, vol. 27, no. 1, pp. 320–345, 2014. View at Publisher · View at Google Scholar · View at Scopus
  29. B. Khazai, M. Merz, C. Schulz, and D. Borst, “An integrated indicator framework for spatial assessment of industrial and social vulnerability to indirect disaster losses,” Natural Hazards, vol. 67, no. 2, pp. 145–167, 2013. View at Publisher · View at Google Scholar · View at Scopus
  30. A. Mardani, A. Jusoh, and E. K. Zavadskas, “Fuzzy multiple criteria decision-making techniques and applications—two decades review from 1994 to 2014,” Expert Systems with Applications, vol. 42, no. 8, pp. 4126–4148, 2015. View at Publisher · View at Google Scholar
  31. A. Mardani, A. Jusoh, K. MD Nor, Z. Khalifah, N. Zakwan, and A. Valipour, “Multiple criteria decision-making techniques and their applications—a review of the literature from 2000 to 2014,” Economic Research-Ekonomska Istraživanja, vol. 28, no. 1, pp. 516–571, 2015. View at Publisher · View at Google Scholar
  32. E. K. Zavadskas, Z. Turskis, and S. Kildiene, “State of art surveys of overviews on MCDM/MADM methods,” Technological and Economic Development of Economy, vol. 20, no. 1, pp. 165–179, 2014. View at Publisher · View at Google Scholar · View at Scopus
  33. G. Kou, D. Ergu, C. Lin, and Y. Chen, “Pairwise comparison matrix in multiple criteria decision making,” Technological and Economic Development of Economy, vol. 22, no. 5, pp. 738–765, 2016. View at Publisher · View at Google Scholar · View at Scopus
  34. G. Kou and C. Lin, “A cosine maximization method for the priority vector derivation in AHP,” European Journal of Operational Research, vol. 235, no. 1, pp. 225–232, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  35. J. L. Deng, “Introduction to grey system theory,” The Journal of Grey System, vol. 1, no. 1, pp. 1–24, 1989. View at Google Scholar · View at MathSciNet
  36. S. Opricovic and G. H. Tzeng, “Compromise solution by MCDM methods: a comparative analysis of VIKOR and TOPSIS,” European Journal of Operational Research, vol. 156, no. 2, pp. 445–455, 2004. View at Publisher · View at Google Scholar · View at Scopus
  37. E. K. Zavadskas, A. Mardani, Z. Turskis, A. Jusoh, and K. M. Nor, “Development of TOPSIS method to solve complicated decision-making problems - an overview on developments from 2000 to 2015,” International Journal of Information Technology & Decision Making, vol. 15, no. 3, pp. 645–682, 2016. View at Publisher · View at Google Scholar · View at Scopus
  38. B. Roy and P. Vincke, “Multicriteria analysis: survey and new directions,” European Journal of Operational Research, vol. 8, no. 3, pp. 207–218, 1981. View at Publisher · View at Google Scholar · View at Scopus
  39. H.-C. Liu, J.-X. You, L. Zhen, and X.-J. Fan, “A novel hybrid multiple criteria decision making model for material selection with target-based criteria,” Materials and Corrosion, vol. 60, pp. 380–390, 2014. View at Publisher · View at Google Scholar · View at Scopus
  40. Y. P. Ou Yang, H. M. Shieh, J. D. Leu, and G. H. Tzeng, “A novel hybrid MCDM model combined with DEMATEL and ANP with applications,” International Journal of Operations Research, vol. 5, no. 3, pp. 160–168, 2008. View at Google Scholar
  41. G. Kou, D. Ergu, and J. Shang, “Enhancing data consistency in decision matrix: adapting Hadamard model to mitigate judgment contradiction,” European Journal of Operational Research, vol. 236, no. 1, pp. 261–271, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  42. B. Efe and Ö. F. Efe, “An application of value analysis for lean healthcare management in an emergency department,” International Journal of Computational Intelligence Systems, vol. 9, no. 4, pp. 689–697, 2016. View at Publisher · View at Google Scholar · View at Scopus
  43. G. Malekzadeh, M. Kazemi, M. Lagzian, and S. Mortazavi, “Modeling organizational intelligence using DEMATEL method in Iranian public universities,” Journal of Modelling in Management, vol. 11, no. 1, pp. 134–153, 2016. View at Publisher · View at Google Scholar · View at Scopus
  44. R. Ranjan, P. Chatterjee, and S. Chakraborty, “Performance evaluation of Indian Railway zones using DEMATEL and VIKOR methods,” Benchmarking, vol. 23, no. 1, pp. 78–95, 2016. View at Publisher · View at Google Scholar · View at Scopus
  45. H.-Y. Hu, Y.-C. Lee, T.-M. Yen, and C.-H. Tsai, “Using BPNN and DEMATEL to modify importance-performance analysis model - a study of the computer industry,” Expert Systems with Applications, vol. 36, no. 6, pp. 9969–9979, 2009. View at Publisher · View at Google Scholar · View at Scopus
  46. H.-Y. Hu, S.-I. Chiu, C.-C. Cheng, and T.-M. Yen, “Applying the IPA and DEMATEL models to improve the order-winner criteria: a case study of Taiwan’s network communication equipment manufacturing industry,” Expert Systems with Applications, vol. 38, no. 8, pp. 9674–9683, 2011. View at Publisher · View at Google Scholar · View at Scopus
  47. C.-C. Cheng, C.-T. Chen, F.-S. Hsu, and H.-Y. Hu, “Enhancing service quality improvement strategies of fine-dining restaurants: new insights from integrating a two-phase decision-making model of IPGA and DEMATEL analysis,” International Journal of Hospitality Management, vol. 31, no. 4, pp. 1155–1166, 2012. View at Publisher · View at Google Scholar · View at Scopus
  48. P.-L. Hsieh and T.-M. Yeh, “Developing a cause and effect model of factors influencing fast food restaurants’ service quality using DEMATEL,” International Journal of Services and Operations Management, vol. 20, no. 1, pp. 21–42, 2015. View at Publisher · View at Google Scholar · View at Scopus
  49. Y. J. Chiu, H. C. Chen, G. H. Tzeng, and J. Z. Shyu, “Marketing strategy based on customer behaviour for the LCD-TV,” International Journal of Management and Decision Making, vol. 7, no. 2-3, pp. 143–165, 2006. View at Publisher · View at Google Scholar · View at Scopus
  50. L.-H. Ho, S.-Y. Feng, Y.-C. Lee, and T.-M. Yen, “Using modified IPA to evaluate supplier’s performance: multiple regression analysis and DEMATEL approach,” Expert Systems with Applications, vol. 39, no. 8, pp. 7102–7109, 2012. View at Publisher · View at Google Scholar · View at Scopus
  51. S.-B. Tsai, C.-Y. Huang, C.-K. Wang et al., “Using a mixed model to evaluate job satisfaction in high-tech industries,” PLoS ONE, vol. 11, no. 5, Article ID e0154071, 2016. View at Publisher · View at Google Scholar · View at Scopus
  52. A. Najmi and A. Makui, “A conceptual model for measuring supply chain’s performance,” Production Planning and Control, vol. 23, no. 9, pp. 694–706, 2012. View at Publisher · View at Google Scholar · View at Scopus
  53. M. Shafiee, F. Hosseinzadeh Lotfi, and H. Saleh, “Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach,” Applied Mathematical Modelling, vol. 38, no. 21-22, pp. 5092–5112, 2014. View at Publisher · View at Google Scholar · View at Scopus
  54. C.-H. Wang and O.-Z. Hsueh, “A novel approach to incorporate customer preference and perception into product configuration: a case study on smart pads,” Computer Standards & Interfaces, vol. 35, no. 5, pp. 549–556, 2013. View at Publisher · View at Google Scholar · View at Scopus
  55. C.-H. Wang and C.-W. Shih, “Integrating conjoint analysis with quality function deployment to carry out customer-driven concept development for ultrabooks,” Computer Standards & Interfaces, vol. 36, no. 1, pp. 89–96, 2013. View at Publisher · View at Google Scholar · View at Scopus
  56. S.-S. Ko, N. Ko, D. Kim, H. Park, and J. Yoon, “Analyzing technology impact networks for R&D planning using patents: combined application of network approaches,” Scientometrics, vol. 101, no. 1, pp. 917–936, 2014. View at Publisher · View at Google Scholar · View at Scopus
  57. J. Yoon, M. Kim, D. Kim, J. Kim, and H. Park, “Monitoring the change of technological impacts of technology sectors using patent information: the case of Korea,” Industrial Engineering & Management Systems, vol. 14, no. 1, pp. 58–72, 2015. View at Publisher · View at Google Scholar · View at Scopus
  58. K.-Y. Shen and G.-H. Tzeng, “Combined soft computing model for value stock selection based on fundamental analysis,” Applied Soft Computing, vol. 37, pp. 142–155, 2015. View at Publisher · View at Google Scholar · View at Scopus
  59. S. Altuntas and T. Dereli, “A novel approach based on DEMATEL method and patent citation analysis for prioritizing a portfolio of investment projects,” Expert Systems with Applications, vol. 42, no. 3, pp. 1003–1012, 2015. View at Publisher · View at Google Scholar · View at Scopus
  60. K.-Y. Shen and G.-H. Tzeng, “A new approach and insightful financial diagnoses for the IT industry based on a hybrid MADM model,” Knowledge-Based Systems, vol. 85, pp. 112–130, 2015. View at Publisher · View at Google Scholar · View at Scopus
  61. W.-K. Tan and Y.-J. Tan, “Transformation of smart-card-based single-purpose e-micropayment scheme to multi-purpose scheme: a case study,” Expert Systems with Applications, vol. 39, no. 3, pp. 2306–2313, 2012. View at Publisher · View at Google Scholar · View at Scopus
  62. C.-S. Liaw, Y.-C. Chang, K.-H. Chang, and T.-Y. Chang, “ME-OWA based DEMATEL reliability apportionment method,” Expert Systems with Applications, vol. 38, no. 8, pp. 9713–9723, 2011. View at Publisher · View at Google Scholar · View at Scopus
  63. A. A. R. Alaei and Y. V. Alroaia, “Identifying and prioritizing the factors affecting and affected by the performance of small and medium enterprises by using DEMATEL technique (The case study of a province in Iran),” Indian Journal of Science and Technology, vol. 9, no. 6, 2016. View at Publisher · View at Google Scholar · View at Scopus
  64. L. R. Bacudio, M. F. D. Benjamin, R. C. P. Eusebio et al., “Analyzing barriers to implementing industrial symbiosis networks using DEMATEL,” Sustainable Production and Consumption, vol. 7, pp. 57–65, 2016. View at Publisher · View at Google Scholar · View at Scopus
  65. D. Balkovskaya and L. Filneva, “The use of the balanced scorecard in bank strategic management,” International Journal of Business Excellence, vol. 9, no. 1, pp. 48–67, 2016. View at Publisher · View at Google Scholar · View at Scopus
  66. Y.-T. Chen, “Applying the DEMATEL approach to identify the focus of library service quality: a case study of a Taiwanese academic library,” Electronic Library, vol. 34, no. 2, pp. 315–331, 2016. View at Publisher · View at Google Scholar · View at Scopus
  67. K. Govindan and A. Chaudhuri, “Interrelationships of risks faced by third party logistics service providers: a DEMATEL based approach,” Transportation Research Part E: Logistics and Transportation Review, vol. 90, pp. 177–195, 2016. View at Publisher · View at Google Scholar · View at Scopus
  68. K. Govindan, K. Muduli, K. Devika, and A. Barve, “Investigation of the influential strength of factors on adoption of green supply chain management practices: an Indian mining scenario,” Resources, Conservation & Recycling, vol. 107, pp. 185–194, 2016. View at Publisher · View at Google Scholar · View at Scopus
  69. S. Gandhi, S. K. Mangla, P. Kumar, and D. Kumar, “A combined approach using AHP and DEMATEL for evaluating success factors in implementation of green supply chain management in Indian manufacturing industries,” International Journal of Logistics Research and Applications, vol. 19, no. 6, pp. 537–561, 2016. View at Publisher · View at Google Scholar · View at Scopus
  70. B.-N. Hwang, C.-Y. Huang, and C.-H. Wu, “A TOE approach to establish a green supply chain adoption decision model in the semiconductor industry,” Sustainability, vol. 8, no. 2, article 168, 2016. View at Publisher · View at Google Scholar · View at Scopus
  71. B.-N. Hwang, C.-Y. Huang, and C.-L. Yang, “Determinants and their causal relationships affecting the adoption of cloud computing in science and technology institutions,” Innovation, vol. 18, no. 2, pp. 164–190, 2016. View at Publisher · View at Google Scholar · View at Scopus
  72. F. Rahimnia and N. Kargozar, “Objectives priority in university strategy map for resource allocation,” Benchmarking, vol. 23, no. 2, pp. 371–387, 2016. View at Publisher · View at Google Scholar · View at Scopus
  73. C. Sekhar, M. Patwardhan, and V. Vyas, “A study of HR flexibility and firm performance: a perspective from IT industry,” Global Journal of Flexible Systems Management, vol. 17, no. 1, pp. 57–75, 2016. View at Publisher · View at Google Scholar · View at Scopus
  74. S. N. Seleem, E.-A. Attia, and A. El-Assal, “Managing performance improvement initiatives using DEMATEL method with application case study,” Production Planning and Control, vol. 27, no. 7-8, pp. 637–649, 2016. View at Publisher · View at Google Scholar · View at Scopus
  75. V. Sharma, A. R. Dixit, and M. A. Qadri, “Empirical assessment of the causal relationships among lean criteria using DEMATEL method,” Benchmarking, vol. 23, no. 7, pp. 1834–1859, 2016. View at Publisher · View at Google Scholar · View at Scopus
  76. Y.-C. Shen, “Identifying the key barriers and their interrelationships impeding the university technology transfer in Taiwan: a multi-stakeholder perspective,” Quality & Quantity, vol. 51, no. 6, pp. 2865–2884, 2017. View at Publisher · View at Google Scholar · View at Scopus
  77. S. M. Seyed-Hosseini, N. Safaei, and M. J. Asgharpour, “Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique,” Reliability Engineering & System Safety, vol. 91, no. 8, pp. 872–881, 2006. View at Publisher · View at Google Scholar · View at Scopus
  78. K.-H. Chang, “Evaluate the orderings of risk for failure problems using a more general RPN methodology,” Microelectronics Reliability, vol. 49, no. 12, pp. 1586–1596, 2009. View at Publisher · View at Google Scholar · View at Scopus
  79. K. Chang, Y. Chang, and I. Tsai, “Enhancing FMEA assessment by integrating grey relational analysis and the decision making trial and evaluation laboratory approach,” Engineering Failure Analysis, vol. 31, pp. 211–224, 2013. View at Publisher · View at Google Scholar · View at Scopus
  80. K.-H. Chang, Y.-C. Chang, and Y.-T. Lee, “Integrating TOPSIS and DEMATEL methods to rank the risk of failure of FMEA,” International Journal of Information Technology & Decision Making, vol. 13, no. 6, pp. 1229–1257, 2014. View at Publisher · View at Google Scholar · View at Scopus
  81. H.-C. Liu, J.-X. You, X.-F. Ding, and Q. Su, “Improving risk evaluation in FMEA with a hybrid multiple criteria decision making method,” International Journal of Quality & Reliability Management, vol. 32, no. 7, pp. 763–782, 2015. View at Publisher · View at Google Scholar · View at Scopus
  82. A. Mentes, H. Akyildiz, M. Yetkin, and N. Turkoglu, “A FSA based fuzzy DEMATEL approach for risk assessment of cargo ships at coasts and open seas of Turkey,” Safety Science, vol. 79, pp. 1–10, 2015. View at Publisher · View at Google Scholar · View at Scopus
  83. J.-S. Horng, C.-H. Liu, S.-F. Chou, and C.-Y. Tsai, “Creativity as a critical criterion for future restaurant space design: developing a novel model with DEMATEL application,” International Journal of Hospitality Management, vol. 33, no. 1, pp. 96–105, 2013. View at Publisher · View at Google Scholar · View at Scopus
  84. C.-T. Chen, W.-H. Lee, Y.-Y. Chang, and C.-C. Cheng, “The strategy for enhancing consumer intention to dine at green restaurants: three-phase decision-making model,” Total Quality Management & Business Excellence, vol. 28, no. 5-6, pp. 614–632, 2017. View at Publisher · View at Google Scholar · View at Scopus
  85. C.-C. Cheng, M.-C. Tsai, and C.-L. Lin, “Quality education service: put your feet in their shoes,” Current Issues in Tourism, vol. 19, no. 11, pp. 1120–1135, 2016. View at Publisher · View at Google Scholar · View at Scopus
  86. J. I. Shieh, H. H. Wu, and K. K. Huang, “A DEMATEL method in identifying key success factors of hospital service quality,” Knowledge-Based Systems, vol. 23, no. 3, pp. 277–282, 2010. View at Publisher · View at Google Scholar · View at Scopus
  87. R. Ranjan, P. Chatterjee, and S. Chakraborty, “Evaluating performance of engineering departments in an Indian University using DEMATEL and compromise ranking methods,” OPSEARCH, vol. 52, no. 2, pp. 307–328, 2015. View at Publisher · View at Google Scholar · View at Scopus
  88. H.-H. Wu, H.-K. Chen, and J.-I. Shieh, “Evaluating performance criteria of employment service outreach program personnel by DEMATEL method,” Expert Systems with Applications, vol. 37, no. 7, pp. 5219–5223, 2010. View at Publisher · View at Google Scholar · View at Scopus
  89. C. C. Sun, “An exploration of core competences of newly qualified nurses: a case study,” Quality & Quantity, vol. 48, no. 2, pp. 767–780, 2014. View at Publisher · View at Google Scholar · View at Scopus
  90. H.-H. Wu and Y.-N. Tsai, “A DEMATEL method to evaluate the causal relations among the criteria in auto spare parts industry,” Applied Mathematics and Computation, vol. 218, no. 5, pp. 2334–2342, 2011. View at Publisher · View at Google Scholar · View at Scopus
  91. C.-C. Sun, “Identifying critical success factors in EDA industry using DEMATEL method,” International Journal of Computational Intelligence Systems, vol. 8, no. 2, pp. 208–218, 2015. View at Publisher · View at Google Scholar · View at Scopus
  92. H. H. Wu and Y. N. Tsai, “An integrated approach of AHP and DEMATEL methods in evaluating the criteria of auto spare parts industry,” International Journal of Systems Science, vol. 43, no. 11, pp. 2114–2124, 2012. View at Publisher · View at Google Scholar · View at Scopus
  93. P.-L. Wei, J.-H. Huang, G.-H. Tzeng, and S.-I. Wu, “Causal modeling of web-advertising effects by improving SEM based on dematel technique,” International Journal of Information Technology & Decision Making, vol. 9, no. 5, pp. 799–829, 2010. View at Publisher · View at Google Scholar · View at Scopus
  94. C.-C. Hsu, “Evaluation criteria for blog design and analysis of causal relationships using factor analysis and DEMATEL,” Expert Systems with Applications, vol. 39, no. 1, pp. 187–193, 2012. View at Publisher · View at Google Scholar · View at Scopus
  95. C.-C. Hsu and Y.-S. Lee, “Exploring the critical factors influencing the quality of blog interfaces using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method,” Behaviour & Information Technology, vol. 33, no. 2, pp. 183–193, 2014. View at Publisher · View at Google Scholar · View at Scopus
  96. Y.-C. Lee, Y.-F. Hsieh, and Y.-B. Guo, “Construct DTPB model by using DEMATEL: a study of a university library website,” Program, vol. 47, no. 2, pp. 155–169, 2013. View at Publisher · View at Google Scholar · View at Scopus
  97. V. Pathari and R. Sonar, “Identifying linkages between statements in information security policy, procedures and controls,” Information Management & Computer Security, vol. 20, no. 4, pp. 264–280, 2012. View at Publisher · View at Google Scholar · View at Scopus
  98. A. Jafarnejad, M. Ansari, H. R. Youshanlouei, and M. M. Mood, “A hybrid MCDM approach for solving the ERP system selection problem with application to steel industry,” International Journal of Enterprise Information Systems, vol. 8, no. 3, pp. 54–73, 2012. View at Publisher · View at Google Scholar · View at Scopus
  99. Y. C. Tsai and Y. T. Cheng, “Analyzing key performance indicators (KPIs) for e-commerce and Internet marketing of elderly products: a review,” Archives of Gerontology and Geriatrics, vol. 55, no. 1, pp. 126–132, 2012. View at Publisher · View at Google Scholar · View at Scopus
  100. Y.-T. Lin, Y.-H. Yang, J.-S. Kang, and H.-C. Yu, “Using DEMATEL method to explore the core competences and causal effect of the IC design service company: an empirical case study,” Expert Systems with Applications, vol. 38, no. 5, pp. 6262–6268, 2011. View at Publisher · View at Google Scholar · View at Scopus
  101. S. Rahman and N. Subramanian, “Factors for implementing end-of-life computer recycling operations in reverse supply chains,” International Journal of Production Economics, vol. 140, no. 1, pp. 239–248, 2012. View at Publisher · View at Google Scholar · View at Scopus
  102. C.-W. Hsu, T.-C. Kuo, S.-H. Chen, and A. H. Hu, “Using DEMATEL to develop a carbon management model of supplier selection in green supply chain management,” Journal of Cleaner Production, vol. 56, pp. 164–172, 2013. View at Publisher · View at Google Scholar · View at Scopus
  103. E. Falatoonitoosi, S. Ahmed, and S. Sorooshian, “A multicriteria framework to evaluate supplier’s greenness,” Abstract and Applied Analysis, vol. 2014, Article ID 396923, pp. 1–12, 2014. View at Publisher · View at Google Scholar · View at Scopus
  104. J. Ren, A. Manzardo, S. Toniolo, and A. Scipioni, “Sustainability of hydrogen supply chain. Part I: identification of critical criteria and cause-effect analysis for enhancing the sustainability using DEMATEL,” International Journal of Hydrogen Energy, vol. 38, no. 33, pp. 14159–14171, 2013. View at Publisher · View at Google Scholar · View at Scopus
  105. K. Muduli and A. Barve, “Establishment of a sustainable development framework in small scale mining supply chains in India,” International Journal of Intelligent Enterprise, vol. 2, no. 1, pp. 84–100, 2013. View at Publisher · View at Google Scholar · View at Scopus
  106. H.-H. Wu and S.-Y. Chang, “A case study of using DEMATEL method to identify critical factors in green supply chain management,” Applied Mathematics and Computation, vol. 256, pp. 394–403, 2015. View at Publisher · View at Google Scholar · View at Scopus
  107. P. K. Behera and K. Mukherjee, “Application of DEMATEL and MMDE for analyzing key: Influencing factors relevant to selection of supply chain coordination schemes,” International Journal of Information Systems and Supply Chain Management, vol. 8, no. 2, pp. 49–69, 2015. View at Publisher · View at Google Scholar · View at Scopus
  108. S. Ahmed, S. Ahmed, M. R. H. Shumon, M. A. Quader, H. M. Cho, and M. I. Mahmud, “Prioritizing strategies for sustainable end-of-life vehicle management using combinatorial multi-criteria decision making method,” International Journal of Fuzzy Systems, vol. 18, no. 3, pp. 448–462, 2016. View at Publisher · View at Google Scholar · View at Scopus
  109. S. Ahmed, S. Ahmed, M. R. H. Shumon, E. Falatoonitoosi, and M. A. Quader, “A comparative decision-making model for sustainable end-of-life vehicle management alternative selection using AHP and extent analysis method on fuzzy AHP,” International Journal of Sustainable Development & World Ecology, vol. 23, no. 1, pp. 83–97, 2016. View at Publisher · View at Google Scholar · View at Scopus
  110. R. Miao, F. Xu, K. Zhang, and Z. Jiang, “Development of a multi-scale model for customer perceived value of electric vehicles,” International Journal of Production Research, vol. 52, no. 16, pp. 4820–4834, 2014. View at Publisher · View at Google Scholar · View at Scopus
  111. G. Lin, “The promotion and development of solar photovoltaic industry: discussion of its key factors,” Distributed Generation and Alternative Energy Journal, vol. 26, no. 4, pp. 57–80, 2011. View at Publisher · View at Google Scholar · View at Scopus
  112. A. Azarnivand and N. Chitsaz, “Adaptive policy responses to water shortage mitigation in the arid regions—a systematic approach based on eDPSIR, DEMATEL, and MCDA,” Environmental Modeling & Assessment, vol. 187, article 23, 2015. View at Publisher · View at Google Scholar · View at Scopus
  113. Y. Chen, J. Liu, Y. Li, R. Sadiq, and Y. Deng, “RM-DEMATEL: a new methodology to identify the key factors in P M 2.5,” Environmental Science and Pollution Research, vol. 22, no. 8, pp. 6372–6380, 2015. View at Publisher · View at Google Scholar · View at Scopus
  114. L. S. dos Muchangos, A. Tokai, and A. Hanashima, “Analyzing the structure of barriers to municipal solid waste management policy planning in Maputo city, Mozambique,” Environmental Development, vol. 16, pp. 76–89, 2015. View at Publisher · View at Google Scholar · View at Scopus
  115. W.-F. Guo, J. Zhou, C.-L. Yu et al., “Evaluating the green corporate social responsibility of manufacturing corporations from a green industry law perspective,” International Journal of Production Research, vol. 53, no. 2, pp. 665–674, 2015. View at Publisher · View at Google Scholar · View at Scopus
  116. F. H. Chen and D.-J. Chi, “Application of a new DEMATEL to explore key factors of China’s corporate social responsibility: evidence from accounting experts,” Quality & Quantity, vol. 49, no. 1, pp. 135–154, 2013. View at Publisher · View at Google Scholar · View at Scopus
  117. D.-S. Chang, S.-H. Chen, C.-W. Hsu, and A. H. Hu, “Identifying strategic factors of the implantation CSR in the airline industry: the case of Asia-Pacific airlines,” Sustainability, vol. 7, no. 6, pp. 7762–7783, 2015. View at Publisher · View at Google Scholar · View at Scopus
  118. Y.-C. Lee, M.-L. Li, T.-M. Yen, and T.-H. Huang, “Analysis of adopting an integrated decision making trial and evaluation laboratory on a technology acceptance model,” Expert Systems with Applications, vol. 37, no. 2, pp. 1745–1754, 2010. View at Publisher · View at Google Scholar · View at Scopus
  119. H. Y. Wu, “Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard,” Evaluation and Program Planning, vol. 35, no. 3, pp. 303–320, 2012. View at Publisher · View at Google Scholar · View at Scopus
  120. Y. Gazibey, O. Kantemir, and A. Demirel, “Interaction among the criteria affecting main battle tank selection: An analysis with DEMATEL method,” Defence Science Journal, vol. 65, no. 5, pp. 345–355, 2015. View at Publisher · View at Google Scholar · View at Scopus
  121. K. Khalili-Damghani, B. Aminzadeh-Goharrizi, S. Rastegar, and B. Aminzadeh-Goharrizi, “Solving land-use suitability analysis and planning problem by a hybrid meta-heuristic algorithm,” International Journal of Geographical Information Science, vol. 28, no. 12, pp. 2390–2416, 2014. View at Publisher · View at Google Scholar · View at Scopus
  122. M.-L. Tseng, “Using hybrid MCDM to evaluate the service quality expectation in linguistic preference,” Applied Soft Computing, vol. 11, no. 8, pp. 4551–4562, 2011. View at Publisher · View at Google Scholar · View at Scopus
  123. M. A. Quader, S. Ahmed, R. A. Raja Ghazilla, S. Ahmed, and M. Dahari, “Evaluation of criteria for CO2 capture and storage in the iron and steel industry using the 2-tuple DEMATEL technique,” Journal of Cleaner Production, vol. 120, pp. 207–220, 2016. View at Publisher · View at Google Scholar · View at Scopus
  124. M. A. Quader and S. Ahmed, “A hybrid fuzzy MCDM approach to identify critical factors and CO2 capture technology for sustainable iron and steel manufacturing,” Arabian Journal for Science and Engineering, vol. 41, no. 11, pp. 4411–4430, 2016. View at Publisher · View at Google Scholar · View at Scopus
  125. M. Kuo, “Optimal location selection for an international distribution center by using a new hybrid method,” Expert Systems with Applications, vol. 38, no. 6, pp. 7208–7221, 2011. View at Publisher · View at Google Scholar · View at Scopus
  126. S. Altuntas, H. Selim, and T. Dereli, “A fuzzy DEMATEL-based solution approach for facility layout problem: a case study,” The International Journal of Advanced Manufacturing Technology, vol. 73, no. 5-8, pp. 749–771, 2014. View at Publisher · View at Google Scholar · View at Scopus
  127. S. Altuntas and M. K. Yilmaz, “Fuzzy DEMATEL method to evaluate the dimensions of marketing resources: an application in SMEs,” Journal of Business Economics and Management, vol. 17, no. 3, pp. 347–364, 2016. View at Publisher · View at Google Scholar · View at Scopus
  128. Ö. Kabak, F. Ülengin, B. Çekyay, Ş. Önsel, and Ö. Özaydın, “Critical success factors for the iron and steel industry in Turkey: A fuzzy DEMATEL approach,” International Journal of Fuzzy Systems, vol. 18, no. 3, pp. 523–536, 2016. View at Publisher · View at Google Scholar · View at Scopus
  129. S. Luthra, K. Govindan, R. K. Kharb, and S. K. Mangla, “Evaluating the enablers in solar power developments in the current scenario using fuzzy DEMATEL: an Indian perspective,” Renewable & Sustainable Energy Reviews, vol. 63, pp. 379–397, 2016. View at Publisher · View at Google Scholar · View at Scopus
  130. W. W. Wu and Y. T. Lee, “Developing global managers’ competencies using the fuzzy DEMATEL method,” Expert Systems with Applications, vol. 32, no. 2, pp. 499–507, 2007. View at Publisher · View at Google Scholar · View at Scopus
  131. J. J. H. Liou, L. Yen, and G.-H. Tzeng, “Building an effective safety management system for airlines,” Journal of Air Transport Management, vol. 14, no. 1, pp. 20–26, 2008. View at Publisher · View at Google Scholar · View at Scopus
  132. M.-L. Tseng, “Using the extension of DEMATEL to integrate hotel service quality perceptions into a cause-effect model in uncertainty,” Expert Systems with Applications, vol. 36, no. 5, pp. 9015–9023, 2009. View at Publisher · View at Google Scholar · View at Scopus
  133. M.-L. Tseng and Y. H. Lin, “Application of fuzzy DEMATEL to develop a cause and effect model of municipal solid waste management in Metro Manila,” Environmental Modeling & Assessment, vol. 158, no. 1-4, pp. 519–533, 2009. View at Publisher · View at Google Scholar · View at Scopus
  134. B. Chang, C. Chang, and C. Wu, “Fuzzy DEMATEL method for developing supplier selection criteria,” Expert Systems with Applications, vol. 38, no. 3, pp. 1850–1858, 2011. View at Publisher · View at Google Scholar · View at Scopus
  135. K.-H. Chang and C.-H. Cheng, “Evaluating the risk of failure using the fuzzy OWA and DEMATEL method,” Journal of Intelligent Manufacturing, vol. 22, no. 2, pp. 113–129, 2011. View at Publisher · View at Google Scholar · View at Scopus
  136. Q. Zhou, W. Huang, and Y. Zhang, “Identifying critical success factors in emergency management using a fuzzy DEMATEL method,” Safety Science, vol. 49, no. 2, pp. 243–252, 2011. View at Publisher · View at Google Scholar · View at Scopus
  137. M.-L. Tseng, Y.-H. Chen, and Y. Geng, “Integrated model of hot spring service quality perceptions under uncertainty,” Applied Soft Computing, vol. 12, no. 8, pp. 2352–2361, 2012. View at Publisher · View at Google Scholar · View at Scopus
  138. M.-L. Tseng, “An assessment of cause and effect decision-making model for firm environmental knowledge management capacities in uncertainty,” Environmental Modeling & Assessment, vol. 161, no. 1–4, pp. 549–564, 2010. View at Publisher · View at Google Scholar · View at Scopus
  139. W.-W. Wu, “Segmenting critical factors for successful knowledge management implementation using the fuzzy DEMATEL method,” Applied Soft Computing, vol. 12, no. 1, pp. 527–535, 2012. View at Publisher · View at Google Scholar · View at Scopus
  140. R. J. Lin, “Using fuzzy DEMATEL to evaluate the green supply chain management practices,” Journal of Cleaner Production, vol. 40, pp. 32–39, 2013. View at Publisher · View at Google Scholar · View at Scopus
  141. S. K. Patil and R. Kant, “A fuzzy DEMATEL method to identify critical success factors of knowledge management adoption in supply chain,” Journal of Information and Knowledge Management, vol. 12, no. 3, Article ID 1350019, 2013. View at Publisher · View at Google Scholar · View at Scopus
  142. S. Rouhani, A. Ashrafi, and S. Afshari, “Segmenting critical success factors for ERP implementation using an integrated fuzzy AHP and fuzzy DEMATEL approach,” World Applied Sciences Journal, vol. 22, no. 8, pp. 1066–1079, 2013. View at Publisher · View at Google Scholar · View at Scopus
  143. L. Wu, Q. Zhang, L. Shan, and Z. Chen, “Identifying critical factors influencing the use of additives by food enterprises in China,” Food Control, vol. 31, no. 2, pp. 425–432, 2013. View at Publisher · View at Google Scholar · View at Scopus
  144. S. Zhou, J. Sun, K.-P. Li, and X. Yang, “Development of a root cause degree procedure for measuring intersection safety factors,” Safety Science, vol. 51, no. 1, pp. 257–266, 2013. View at Publisher · View at Google Scholar · View at Scopus
  145. Y. Dou, Q. Zhu, and J. Sarkis, “Integrating strategic carbon management into formal evaluation of environmental supplier development programs,” Business Strategy and the Environment, vol. 24, no. 8, pp. 873–891, 2015. View at Publisher · View at Google Scholar · View at Scopus
  146. K. Govindan, D. Kannan, and K. M. Shankar, “Evaluating the drivers of corporate social responsibility in the mining industry with multi-criteria approach: a multi-stakeholder perspective,” Journal of Cleaner Production, vol. 84, no. 1, pp. 214–232, 2014. View at Publisher · View at Google Scholar · View at Scopus
  147. S. Routroy and C. V. Sunil Kumar, “Analyzing supplier development program enablers using fuzzy DEMATEL,” Measuring Business Excellence, vol. 18, no. 4, pp. 1–26, 2014. View at Publisher · View at Google Scholar · View at Scopus
  148. M. Tyagi, P. Kumar, and D. Kumar, “Assessment of critical enablers for flexible supply chain performance measurement system using fuzzy DEMATEL approach,” Global Journal of Flexible Systems Management, vol. 16, no. 2, pp. 115–132, 2015. View at Publisher · View at Google Scholar · View at Scopus
  149. K.-J. Wu, C.-J. Liao, M.-L. Tseng, and A. S. F. Chiu, “Exploring decisive factors in green supply chain practices under uncertainty,” International Journal of Production Economics, vol. 159, pp. 147–157, 2015. View at Publisher · View at Google Scholar · View at Scopus
  150. A. K. Sangaiah, P. R. Subramaniam, and X. Zheng, “A combined fuzzy DEMATEL and fuzzy TOPSIS approach for evaluating GSD project outcome factors,” Neural Computing and Applications, vol. 26, no. 5, pp. 1025–1040, 2015. View at Publisher · View at Google Scholar · View at Scopus
  151. R. K. Malviya and R. Kant, “Hybrid decision making approach to predict and measure the success possibility of green supply chain management implementation,” Journal of Cleaner Production, vol. 135, pp. 387–409, 2016. View at Publisher · View at Google Scholar · View at Scopus
  152. S. K. Patil and R. Kant, “A hybrid approach based on fuzzy DEMATEL and FMCDM to predict success of knowledge management adoption in supply chain,” Applied Soft Computing, vol. 18, pp. 126–135, 2014. View at Publisher · View at Google Scholar · View at Scopus
  153. A. K. Sangaiah, J. Gopal, A. Basu, and P. R. Subramaniam, “An integrated fuzzy DEMATEL, TOPSIS, and ELECTRE approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome,” Neural Computing and Applications, vol. 28, no. 1, pp. 111–123, 2017. View at Publisher · View at Google Scholar · View at Scopus
  154. E. A. Bakeshlou, A. A. Khamseh, M. A. G. Asl, J. Sadeghi, and M. Abbaszadeh, “Evaluating a green supplier selection problem using a hybrid MODM algorithm,” Journal of Intelligent Manufacturing, vol. 28, no. 4, pp. 913–927, 2017. View at Publisher · View at Google Scholar · View at Scopus
  155. J. Jassbi, F. Mohamadnejad, and H. Nasrollahzadeh, “A fuzzy DEMATEL framework for modeling cause and effect relationships of strategy map,” Expert Systems with Applications, vol. 38, no. 5, pp. 5967–5973, 2011. View at Publisher · View at Google Scholar · View at Scopus
  156. Y.-C. Lee, M.-L. Li, T.-M. Yen, and T.-H. Huang, “Analysis of fuzzy decision making trial and evaluation laboratory on technology acceptance model,” Expert Systems with Applications, vol. 38, no. 12, pp. 14407–14416, 2011. View at Publisher · View at Google Scholar · View at Scopus
  157. C. Valmohammadi and J. Sofiyabadi, “Modeling cause and effect relationships of strategy map using fuzzy DEMATEL and fourth generation of balanced scorecard,” Benchmarking, vol. 22, no. 6, pp. 1175–1191, 2015. View at Publisher · View at Google Scholar · View at Scopus
  158. M. Younesi and E. Roghanian, “A framework for sustainable product design: a hybrid fuzzy approach based on quality function deployment for environment,” Journal of Cleaner Production, vol. 108, pp. 385–394, 2015. View at Publisher · View at Google Scholar
  159. C. J. Lin and W. W. Wu, “A causal analytical method for group decision-making under fuzzy environment,” Expert Systems with Applications, vol. 34, no. 1, pp. 205–213, 2008. View at Publisher · View at Google Scholar · View at Scopus
  160. R. Fekri, A. Aliahmadi, and M. Fathian, “Identifying the cause and effect factors of agile NPD process with fuzzy DEMATEL method: The case of Iranian companies,” Journal of Intelligent Manufacturing, vol. 20, no. 6, pp. 637–648, 2009. View at Publisher · View at Google Scholar · View at Scopus
  161. D. J.-F. Jeng and G.-H. Tzeng, “Social influence on the use of clinical decision support systems: revisiting the unified theory of acceptance and use of technology by the fuzzy DEMATEL technique,” Computers & Industrial Engineering, vol. 62, no. 3, pp. 819–828, 2012. View at Publisher · View at Google Scholar · View at Scopus
  162. Y.-C. Chou, C.-C. Sun, and H.-Y. Yen, “Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach,” Applied Soft Computing, vol. 12, no. 1, pp. 64–71, 2012. View at Publisher · View at Google Scholar · View at Scopus
  163. M.-A. Afsharkazemi, J. Manouchehri, M. Salarifar, and A. A. Nasiripour, “Key factors affecting the hospital performance: a qualitative study using fuzzy logic,” Quality & Quantity, vol. 47, no. 6, pp. 3559–3573, 2013. View at Publisher · View at Google Scholar · View at Scopus
  164. J. Ren and B. K. Sovacool, “Quantifying, measuring, and strategizing energy security: determining the most meaningful dimensions and metrics,” Energy, vol. 76, pp. 838–849, 2014. View at Publisher · View at Google Scholar · View at Scopus
  165. E. Akyuz and E. Celik, “A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers,” Journal of Loss Prevention in the Process Industries, vol. 38, pp. 243–253, 2015. View at Publisher · View at Google Scholar · View at Scopus
  166. C.-C. Tsao and W.-W. Wu, “Evaluation of design conditions for compound special-core drilling composite materials using the fuzzy DEMATEL method,” International Journal of Computer Integrated Manufacturing, vol. 27, no. 11, pp. 979–985, 2014. View at Publisher · View at Google Scholar · View at Scopus
  167. L.-H. Ho, M.-T. Hsu, and T.-M. Yen, “Identifying core control items of information security management and improvement strategies by applying fuzzy DEMATEL,” Information and Computer Security, vol. 23, no. 2, pp. 161–177, 2015. View at Publisher · View at Google Scholar · View at Scopus
  168. D. J.-F. Jeng, “Generating a causal model of supply chain collaboration using the fuzzy DEMATEL technique,” Computers & Industrial Engineering, vol. 87, pp. 283–295, 2015. View at Publisher · View at Google Scholar · View at Scopus
  169. H.-C. Liu, J.-X. You, Q.-L. Lin, and H. Li, “Risk assessment in system FMEA combining fuzzy weighted average with fuzzy decision-making trial and evaluation laboratory,” International Journal of Computer Integrated Manufacturing, vol. 28, no. 7, pp. 701–714, 2015. View at Publisher · View at Google Scholar · View at Scopus
  170. F. Panaihfar, C. Heavey, and P. J. Byrne, “Developing retailer selection factors for collaborative planning, forecasting and replenishment,” Industrial Management & Data Systems, vol. 115, no. 7, pp. 1292–1324, 2015. View at Publisher · View at Google Scholar · View at Scopus
  171. C.-Y. Hsu, K.-T. Chen, and G.-H. Tzeng, “FMCDM with fuzzy DEMATEL approach for customers’ choice behavior model,” International Journal of Fuzzy Systems, vol. 9, no. 4, pp. 236–246, 2007. View at Google Scholar · View at Scopus
  172. S. Cebi, “A quality evaluation model for the design quality of online shopping websites,” Electronic Commerce Research and Applications, vol. 12, no. 2, pp. 124–135, 2013. View at Publisher · View at Google Scholar · View at Scopus
  173. L. Gigović, D. Pamučar, D. Lukić, and S. Marković, “GIS-Fuzzy DEMATEL MCDA model for the evaluation of the sites for ecotourism development: a case study of ‘Dunavski ključ’ region, Serbia,” Land Use Policy, vol. 58, pp. 348–365, 2016. View at Publisher · View at Google Scholar · View at Scopus
  174. J. S. Jeong, L. García-Moruno, J. Hernández-Blanco, and A. Sánchez-Ríos, “Planning of rural housings in reservoir areas under (mass) tourism based on a fuzzy DEMATEL-GIS/MCDA hybrid and participatory method for Alange, Spain,” Habitat International, vol. 57, pp. 143–153, 2016. View at Publisher · View at Google Scholar · View at Scopus
  175. M. J. Rahimdel and R. Bagherpour, “Haulage system selection for open pit mines using fuzzy MCDM and the view on energy saving,” Neural Computing and Applications, pp. 1–13, 2016. View at Publisher · View at Google Scholar · View at Scopus
  176. D. Dalalah, M. Hayajneh, and F. Batieha, “A fuzzy multi-criteria decision making model for supplier selection,” Expert Systems with Applications, vol. 38, no. 7, pp. 8384–8391, 2011. View at Publisher · View at Google Scholar · View at Scopus
  177. M. Hiete, M. Merz, T. Comes, and F. Schultmann, “Trapezoidal fuzzy DEMATEL method to analyze and correct for relations between variables in a composite indicator for disaster resilience,” OR Spectrum, vol. 34, no. 4, pp. 971–995, 2012. View at Publisher · View at Google Scholar · View at Scopus
  178. C.-H. Wang and J.-N. Chen, “Using quality function deployment for collaborative product design and optimal selection of module mix,” Computers & Industrial Engineering, vol. 63, no. 4, pp. 1030–1037, 2012. View at Publisher · View at Google Scholar · View at Scopus
  179. C.-H. Wang, “Using quality function deployment to conduct vendor assessment and supplier recommendation for business-intelligence systems,” Computers & Industrial Engineering, vol. 84, pp. 24–31, 2015. View at Publisher · View at Google Scholar · View at Scopus
  180. A. Baykasoǧlu, V. Kaplanoglu, Z. D. U. Durmuşoglu, and C. Şahin, “Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection,” Expert Systems with Applications, vol. 40, no. 3, pp. 899–907, 2013. View at Publisher · View at Google Scholar · View at Scopus
  181. C. H. Wang and H. S. Wu, “A novel framework to evaluate programmable logic controllers: a fuzzy MCDM perspective,” Journal of Intelligent Manufacturing, vol. 27, no. 2, pp. 315–324, 2016. View at Publisher · View at Google Scholar
  182. A. Fetanat and E. Khorasaninejad, “A novel hybrid MCDM approach for offshore wind farm site selection: a case study of Iran,” Ocean & Coastal Management, vol. 109, pp. 17–28, 2015. View at Publisher · View at Google Scholar · View at Scopus
  183. S.-K. Hu, M.-T. Lu, and G.-H. Tzeng, “Improving mobile commerce adoption using a new hybrid fuzzy MADM model,” International Journal of Fuzzy Systems, vol. 17, no. 3, pp. 399–413, 2015. View at Publisher · View at Google Scholar · View at Scopus
  184. G. A. Keskin, “Using integrated fuzzy DEMATEL and fuzzy C: means algorithm for supplier evaluation and selection,” International Journal of Production Research, vol. 53, no. 12, pp. 3586–3602, 2015. View at Publisher · View at Google Scholar · View at Scopus
  185. D. Pamučar and G. Ćirović, “The selection of transport and handling resources in logistics centers using Multi-Attributive Border Approximation area Comparison (MABAC),” Expert Systems with Applications, vol. 42, no. 6, pp. 3016–3028, 2015. View at Publisher · View at Google Scholar · View at Scopus
  186. H. Taşkin, Ü. A. Kahraman, and C. Kubat, “Evaluation of the hospital service in Turkey using fuzzy decision making approach,” Journal of Intelligent Manufacturing, 2015. View at Publisher · View at Google Scholar · View at Scopus
  187. X. Fu, Q. Zhu, and J. Sarkis, “Evaluating green supplier development programs at a telecommunications systems provider,” International Journal of Production Economics, vol. 140, no. 1, pp. 357–367, 2012. View at Publisher · View at Google Scholar · View at Scopus
  188. Y. Dou and J. Sarkis, “A multiple stakeholder perspective on barriers to implementing China RoHS regulations,” Resources, Conservation & Recycling, vol. 81, pp. 92–104, 2013. View at Publisher · View at Google Scholar · View at Scopus
  189. Q. Zhu, J. Sarkis, and K.-H. Lai, “Supply chain-based barriers for truck-engine remanufacturing in China,” Transportation Research Part E: Logistics and Transportation Review, vol. 68, pp. 103–117, 2014. View at Publisher · View at Google Scholar · View at Scopus
  190. R. Rajesh and V. Ravi, “Modeling enablers of supply chain risk mitigation in electronic supply chains: a Grey-DEMATEL approach,” Computers & Industrial Engineering, vol. 87, pp. 126–139, 2015. View at Publisher · View at Google Scholar · View at Scopus
  191. J. Shao, M. Taisch, and M. Ortega-Mier, “A grey-decision-making trial and evaluation laboratory (DEMATEL) analysis on the barriers between environmentally friendly products and consumers: practitioners’ viewpoints on the European automobile industry,” Journal of Cleaner Production, vol. 112, pp. 3185–3194, 2016. View at Publisher · View at Google Scholar · View at Scopus
  192. K. Govindan, R. Khodaverdi, and A. Vafadarnikjoo, “A grey DEMATEL approach to develop third-party logistics provider selection criteria,” Industrial Management & Data Systems, vol. 116, no. 4, pp. 690–722, 2016. View at Publisher · View at Google Scholar · View at Scopus
  193. X. Xia, K. Govindan, and Q. Zhu, “Analyzing internal barriers for automotive parts remanufacturers in China using grey-DEMATEL approach,” Journal of Cleaner Production, vol. 87, no. 1, pp. 811–825, 2015. View at Publisher · View at Google Scholar · View at Scopus
  194. C. Bai and J. Sarkis, “A grey-based DEMATEL model for evaluating business process management critical success factors,” International Journal of Production Economics, vol. 146, no. 1, pp. 281–292, 2013. View at Publisher · View at Google Scholar · View at Scopus
  195. H. Liang, J. Ren, Z. Gao et al., “Identification of critical success factors for sustainable development of biofuel industry in China based on grey decision-making trial and evaluation laboratory (DEMATEL),” Journal of Cleaner Production, vol. 131, pp. 500–508, 2016. View at Publisher · View at Google Scholar · View at Scopus
  196. M.-L. Tseng, “A causal and effect decision making model of service quality expectation using grey-fuzzy DEMATEL approach,” Expert Systems with Applications, vol. 36, no. 4, pp. 7738–7748, 2009. View at Publisher · View at Google Scholar · View at Scopus
  197. C.-M. Su, D.-J. Horng, M.-L. Tseng, A. S. F. Chiu, K.-J. Wu, and H.-P. Chen, “Improving sustainable supply chain management using a novel hierarchical grey-DEMATEL approach,” Journal of Cleaner Production, vol. 134, pp. 469–481, 2016. View at Publisher · View at Google Scholar · View at Scopus
  198. T. Ozcan and F. Tuysuz, “Modified grey relational analysis integrated with grey dematel approach for the performance evaluation of retail stores,” International Journal of Information Technology & Decision Making, vol. 15, no. 2, pp. 353–386, 2016. View at Publisher · View at Google Scholar · View at Scopus
  199. K. Jenab, A. Sarfaraz, P. D. Weinsier, A. Moeini, and A. M. A. Al-Ahmari, “I-DEMATEL method for integrated manufacturing technology selection,” Journal of Manufacturing Technology Management, vol. 26, no. 3, pp. 349–363, 2015. View at Publisher · View at Google Scholar · View at Scopus
  200. L. Abdullah and N. Zulkifli, “Integration of fuzzy AHP and interval type-2 fuzzy DEMATEL: an application to human resource management,” Expert Systems with Applications, vol. 42, no. 9, pp. 4397–4409, 2015. View at Publisher · View at Google Scholar · View at Scopus
  201. A. V. Nikjoo and M. Saeedpoor, “An intuitionistic fuzzy DEMATEL methodology for prioritising the components of SWOT matrix in the Iranian insurance industry,” International Journal of Operational Research, vol. 20, no. 4, pp. 439–452, 2014. View at Publisher · View at Google Scholar · View at Scopus
  202. K. Govindan, R. Khodaverdi, and A. Vafadarnikjoo, “Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain,” Expert Systems with Applications, vol. 42, no. 20, pp. 7207–7220, 2015. View at Publisher · View at Google Scholar · View at Scopus
  203. Z. P. Fan, W. Suo, and B. Feng, “Identifying risk factors of IT outsourcing using interdependent information: an extended DEMATEL method,” Expert Systems with Applications, vol. 39, no. 3, pp. 3832–3840, 2012. View at Publisher · View at Google Scholar · View at Scopus
  204. H. Liu, J. X. You, Ch. Lu, and Y. Z. Chen, “Evaluating health-care waste treatment technologies using a hybrid multi-criteria decision making model,” Renewable & Sustainable Energy Reviews, vol. 41, pp. 932–942, 2015. View at Publisher · View at Google Scholar
  205. W.-L. Suo, B. Feng, and Z.-P. Fan, “Extension of the DEMATEL method in an uncertain linguistic environment,” Soft Computing, vol. 16, no. 3, pp. 471–483, 2012. View at Publisher · View at Google Scholar · View at Scopus
  206. Y. Li, Y. Hu, X. Zhang, Y. Deng, and S. Mahadevan, “An evidential DEMATEL method to identify critical success factors in emergency management,” Applied Soft Computing, vol. 22, pp. 504–510, 2014. View at Publisher · View at Google Scholar · View at Scopus
  207. K.-H. Chang and C.-H. Cheng, “A risk assessment methodology using intuitionistic fuzzy set in FMEA,” International Journal of Systems Science, vol. 41, no. 12, pp. 1457–1471, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  208. K.-H. Chang, “A more general risk assessment methodology using a soft set-based ranking technique,” Soft Computing, vol. 18, no. 1, pp. 169–183, 2014. View at Publisher · View at Google Scholar · View at Scopus
  209. X. Geng and X. Chu, “A new importance-performance analysis approach for customer satisfaction evaluation supporting PSS design,” Expert Systems with Applications, vol. 39, no. 1, pp. 1492–1502, 2012. View at Publisher · View at Google Scholar · View at Scopus
  210. S.-M. Wu, H.-C. Liu, and L.-E. Wang, “Hesitant fuzzy integrated MCDM approach for quality function deployment: a case study in electric vehicle,” International Journal of Production Research, vol. 55, no. 15, pp. 4436–4449, 2017. View at Publisher · View at Google Scholar · View at Scopus
  211. W.-W. Wu, “Choosing knowledge management strategies by using a combined ANP and DEMATEL approach,” Expert Systems with Applications, vol. 35, no. 3, pp. 828–835, 2008. View at Publisher · View at Google Scholar · View at Scopus
  212. G. Büyüközkan and G. Çifçi, “A novel hybrid MCDM approach based on fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS to evaluate green suppliers,” Expert Systems with Applications, vol. 39, no. 3, pp. 3000–3011, 2012. View at Publisher · View at Google Scholar · View at Scopus
  213. W.-H. Tsai and W.-C. Chou, “Selecting management systems for sustainable development in SMEs: a novel hybrid model based on DEMATEL, ANP, and ZOGP,” Expert Systems with Applications, vol. 36, no. 2, pp. 1444–1458, 2009. View at Publisher · View at Google Scholar · View at Scopus
  214. L. A. Zadeh, “Fuzzy sets,” Information and Control, vol. 8, no. 3, pp. 338–353, 1965. View at Publisher · View at Google Scholar · View at Scopus
  215. S. Opricovic and G.-H. Tzeng, “Defuzzification within a multi-criteria decision model,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, vol. 11, no. 5, pp. 635–652, 2003. View at Publisher · View at Google Scholar · View at Scopus
  216. J. Gopal, A. K. Sangaiah, A. Basu, and X. Z. Gao, “Integration of fuzzy DEMATEL and FMCDM approach for evaluating knowledge transfer effectiveness with reference to GSD project outcome,” International Journal of Machine Learning and Cybernetics, pp. 1–17, 2015. View at Publisher · View at Google Scholar
  217. A. K. Sangaiah, X. Z. Gao, M. Ramachandran, and X. Zheng, “A fuzzy DEMATEL approach based on intuitionistic fuzzy information for evaluating knowledge transfer effectiveness in GSD projects,” International Journal of Innovative Computing and Applications, vol. 6, no. 3-4, pp. 203–215, 2015. View at Publisher · View at Google Scholar
  218. C.-W. Li and G.-H. Tzeng, “Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall,” Expert Systems with Applications, vol. 36, no. 6, pp. 9891–9898, 2009. View at Publisher · View at Google Scholar · View at Scopus