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Mathematical Problems in Engineering
Volume 2016 (2016), Article ID 9236414, 15 pages
http://dx.doi.org/10.1155/2016/9236414
Research Article

A Model for Sorting Activities to Be Outsourced in Civil Construction Based on ROR-UTADIS

Management Engineering Department, Universidade Federal de Pernambuco, P.O. Box 7462, 50630-970 Recife, PE, Brazil

Received 10 November 2015; Accepted 3 January 2016

Academic Editor: Ben T. Nohara

Copyright © 2016 Rachel Perez Palha 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. G. D. Holt, P. O. Olomolaiye, and F. C. Harris, “A review of contractor selection practice in the U.K. construction industry,” Building and Environment, vol. 30, no. 4, pp. 553–561, 1995. View at Publisher · View at Google Scholar · View at Scopus
  2. G. D. Holt, P. O. Olomolaye, and F. C. Harris, “Evaluating prequalification criteria in contractor selection,” Building and Environment, vol. 29, no. 4, pp. 437–448, 1994. View at Publisher · View at Google Scholar
  3. R. L. Keeney and H. Raiffa, Decisions with Multiple Objectives: Preferences and Value Trade-Offs, Cambridge University Press, Cambridge, UK, 1993. View at Publisher · View at Google Scholar
  4. M. Sönmez, G. D. Holt, J. B. Yang, and G. Graham, “Applying evidential reasoning to prequalifying construction contractors,” Journal of Management in Engineering, vol. 18, no. 3, pp. 111–119, 2002. View at Publisher · View at Google Scholar · View at Scopus
  5. K.-C. Lam, M. C.-K. Lam, and D. Wang, “Efficacy of using support vector machine in a contractor prequalification decision model,” Journal of Computing in Civil Engineering, vol. 24, no. 3, pp. 273–280, 2010. View at Publisher · View at Google Scholar · View at Scopus
  6. C.-T. Chen, C.-T. Lin, and S.-F. Huang, “A fuzzy approach for supplier evaluation and selection in supply chain management,” International Journal of Production Economics, vol. 102, no. 2, pp. 289–301, 2006. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Razmi, M. J. Songhori, and M. H. Khakbaz, “An integrated fuzzy group decision making/fuzzy linear programming (FGDMLP) framework for supplier evaluation and order allocation,” International Journal of Advanced Manufacturing Technology, vol. 43, no. 5-6, pp. 590–607, 2009. View at Publisher · View at Google Scholar · View at Scopus
  8. Z. Chen and W. Yang, “An MAGDM based on constrained FAHP and FTOPSIS and its application to supplier selection,” Mathematical and Computer Modelling, vol. 54, no. 11-12, pp. 2802–2815, 2011. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  9. 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
  10. F. E. Boran, S. Genç, M. Kurt, and D. Akay, “A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method,” Expert Systems with Applications, vol. 36, no. 8, pp. 11363–11368, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Shen, L. Olfat, K. Govindan, R. Khodaverdi, and A. Diabat, “A fuzzy multi criteria approach for evaluating green supplier's performance in green supply chain with linguistic preferences,” Resources, Conservation and Recycling, 2012. View at Publisher · View at Google Scholar · View at Scopus
  12. J. Roshandel, S. S. Miri-Nargesi, and L. Hatami-Shirkouhi, “Evaluating and selecting the supplier in detergent production industry using hierarchical fuzzy TOPSIS,” Applied Mathematical Modelling, vol. 37, no. 24, pp. 10170–10181, 2013. View at Publisher · View at Google Scholar · View at Scopus
  13. D. Kannan, A. B. L. D. S. Jabbour, and C. J. C. Jabbour, “Selecting green suppliers based on GSCM practices: using fuzzy TOPSIS applied to a Brazilian electronics company,” European Journal of Operational Research, vol. 233, no. 2, pp. 432–447, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  14. Y.-H. Lin, P.-C. Lee, T.-P. Chang, and H.-I. Ting, “Multi-attribute group decision making model under the condition of uncertain information,” Automation in Construction, vol. 17, no. 6, pp. 792–797, 2008. View at Publisher · View at Google Scholar · View at Scopus
  15. Z. Yue, “Group decision making with multi-attribute interval data,” Information Fusion, vol. 14, no. 4, pp. 551–561, 2013. View at Publisher · View at Google Scholar · View at Scopus
  16. J.-W. Wang, C.-H. Cheng, and K.-C. Huang, “Fuzzy hierarchical TOPSIS for supplier selection,” Applied Soft Computing Journal, vol. 9, no. 1, pp. 377–386, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. A. H. I. Lee, “A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks,” Expert Systems with Applications, vol. 36, no. 2, pp. 2879–2893, 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. S. Aydin and C. Kahraman, “Multiattribute supplier selection using fuzzy analytic hierarchy process,” International Journal of Computational Intelligence Systems, vol. 3, no. 5, pp. 553–565, 2010. View at Publisher · View at Google Scholar · View at Scopus
  19. P. Jaskowski, S. Biruk, and R. Bucon, “Assessing contractor selection criteria weights with fuzzy AHP method application in group decision environment,” Automation in Construction, vol. 19, no. 2, pp. 120–126, 2010. View at Publisher · View at Google Scholar · View at Scopus
  20. X. Deng, Y. Hu, Y. Deng, and S. Mahadevan, “Supplier selection using AHP methodology extended by D numbers,” Expert Systems with Applications, vol. 41, no. 1, pp. 156–167, 2014. View at Publisher · View at Google Scholar · View at Scopus
  21. Y.-M. Wang and K.-S. Chin, “A linear goal programming priority method for fuzzy analytic hierarchy process and its applications in new product screening,” International Journal of Approximate Reasoning, vol. 49, no. 2, pp. 451–465, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  22. A. K. Kar, “Revisiting the supplier selection problem: an integrated approach for group decision support,” Expert Systems with Applications, vol. 41, no. 6, pp. 2762–2771, 2014. View at Publisher · View at Google Scholar · View at Scopus
  23. T. Ertay, A. Kahveci, and R. M. Tabanl, “An integrated multi-criteria group decision-making approach to efficient supplier selection and clustering using fuzzy preference relations,” International Journal of Computer Integrated Manufacturing, vol. 24, no. 12, pp. 1152–1167, 2011. View at Publisher · View at Google Scholar · View at Scopus
  24. C.-W. Tsui and U.-P. Wen, “A hybrid multiple criteria group decision-making approach for green supplier selection in the TFT-LCD industry,” Mathematical Problems in Engineering, vol. 2014, Article ID 709872, 13 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  25. T.-Y. Chen, “An ELECTRE-based outranking method for multiple criteria group decision making using interval type-2 fuzzy sets,” Information Sciences, vol. 263, pp. 1–21, 2014. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  26. J. Xu and F. Shen, “A new outranking choice method for group decision making under Atanassov's interval-valued intuitionistic fuzzy environment,” Knowledge-Based Systems, vol. 70, pp. 177–188, 2014. View at Publisher · View at Google Scholar · View at Scopus
  27. S.-P. Wan and D.-F. Li, “Fuzzy LINMAP approach to heterogeneous MADM considering comparisons of alternatives with hesitation degrees,” Omega, vol. 41, no. 6, pp. 925–940, 2013. View at Publisher · View at Google Scholar · View at Scopus
  28. A. Sanayei, S. F. Mousavi, M. R. Abdi, and A. Mohaghar, “An integrated group decision-making process for supplier selection and order allocation using multi-attribute utility theory and linear programming,” Journal of the Franklin Institute, vol. 345, no. 7, pp. 731–747, 2008. View at Publisher · View at Google Scholar · View at Scopus
  29. Z. Yue and Y. Jia, “A method to aggregate crisp values into interval-valued intuitionistic fuzzy information for group decision making,” Applied Soft Computing, vol. 13, no. 5, pp. 2304–2317, 2013. View at Publisher · View at Google Scholar · View at Scopus
  30. F. Wang, S. Zeng, and C. Zhang, “A method based on intuitionistic fuzzy dependent aggregation operators for supplier selection,” Mathematical Problems in Engineering, vol. 2013, Article ID 481202, 9 pages, 2013. View at Publisher · View at Google Scholar · View at MathSciNet
  31. D.-F. Li and S.-P. Wan, “A fuzzy inhomogenous multiattribute group decision making approach to solve outsourcing provider selection problems,” Knowledge-Based Systems, vol. 67, pp. 71–89, 2014. View at Publisher · View at Google Scholar · View at Scopus
  32. A. Sanayei, S. F. Mousavi, and A. Yazdankhah, “Group decision making process for supplier selection with VIKOR under fuzzy environment,” Expert Systems with Applications, vol. 37, no. 1, pp. 24–30, 2010. View at Publisher · View at Google Scholar · View at Scopus
  33. A. Shemshadi, H. Shirazi, M. Toreihi, and M. J. Tarokh, “A fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting,” Expert Systems with Applications, vol. 38, no. 10, pp. 12160–12167, 2011. View at Publisher · View at Google Scholar · View at Scopus
  34. B. Vahdani, S. M. Mousavi, H. Hashemi, M. Mousakhani, and R. Tavakkoli-Moghaddam, “A new compromise solution method for fuzzy group decision-making problems with an application to the contractor selection,” Engineering Applications of Artificial Intelligence, vol. 26, no. 2, pp. 779–788, 2013. View at Publisher · View at Google Scholar · View at Scopus
  35. A. T. de Almeida, “Multicriteria decision model for outsourcing contracts selection based on utility function and ELECTRE method,” Computers & Operations Research, vol. 34, no. 12, pp. 3569–3574, 2007. View at Publisher · View at Google Scholar · View at Scopus
  36. T. E. E. Gonçalo and L. H. Alencar, “A supplier selection model based on classifying its strategic impact for a company's business results,” Pesquisa Operacional, vol. 34, no. 2, pp. 347–369, 2014. View at Publisher · View at Google Scholar · View at Scopus
  37. M. Kadziński, K. Ciomek, and R. Słowiński, “Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting,” European Journal of Operational Research, vol. 241, no. 3, pp. 830–841, 2015. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  38. E. Jacquet-Lagrèze, “An application of the UTA discriminant model for the evaluation of R&D projects,” in Advances in Multicriteria Analysis, P. M. Pardalos, Y. Siskos, and C. Zopounidis, Eds., pp. 203–211, Kluwer Academic Publishers, Dordrecht, The Netherlands, 1995. View at Google Scholar
  39. C. Zopounidis and M. Doumpos, “A multicriteria decision aid methodology for sorting decision problems: the case of financial distress,” Computational Economics, vol. 14, no. 3, pp. 197–218, 1999. View at Publisher · View at Google Scholar · View at Scopus
  40. S. Greco, B. Matarazzo, and R. Slowinski, “Rough sets theory for multicriteria decision analysis,” European Journal of Operational Research, vol. 129, no. 1, pp. 1–47, 2001. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  41. S. Greco, V. Mousseau, and R. Słowiński, “Multiple criteria sorting with a set of additive value functions,” European Journal of Operational Research, vol. 207, no. 3, pp. 1455–1470, 2010. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  42. C. Zopounidis and M. Doumpos, “Multicriteria classification and sorting methods: a literature review,” European Journal of Operational Research, vol. 138, no. 2, pp. 229–246, 2002. View at Publisher · View at Google Scholar · View at Scopus
  43. D. C. Morais, A. T. de Almeida, and J. R. Figueira, “A sorting model for group decision making: a case study of water losses in Brazil,” Group Decision and Negotiation, vol. 23, no. 5, pp. 937–960, 2014. View at Publisher · View at Google Scholar · View at Scopus
  44. Y. Chen, D. Marc Kilgour, and K. W. Hipel, “Multiple criteria classification with an application in water resources planning,” Computers and Operations Research, vol. 33, no. 11, pp. 3301–3323, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  45. R. Vetschera, Y. Chen, K. W. Hipel, and D. M. Kilgour, “Robustness and information levels in case-based multiple criteria sorting,” European Journal of Operational Research, vol. 202, no. 3, pp. 841–852, 2010. View at Publisher · View at Google Scholar · View at Scopus
  46. Y. Chen, K. W. Li, D. M. Kilgour, and K. W. Hipel, “A case-based distance model for multiple criteria ABC analysis,” Computers & Operations Research, vol. 35, no. 3, pp. 776–796, 2008. View at Publisher · View at Google Scholar · View at Scopus
  47. C. Zopounidis and M. Doumpos, “PREFDIS: a multicriteria decision support system for sorting decision problems,” Computers & Operations Research, vol. 27, no. 7-8, pp. 779–797, 2000. View at Publisher · View at Google Scholar · View at Scopus
  48. M. Doumpos and C. Zopounidis, “Developing sorting models using preference disaggregation analysis: an experimental investigation,” European Journal of Operational Research, vol. 154, no. 3, pp. 585–598, 2004. View at Publisher · View at Google Scholar · View at Scopus
  49. M. Köksalan and S. B. Özpeynirci, “An interactive sorting method for additive utility functions,” Computers & Operations Research, vol. 36, no. 9, pp. 2565–2572, 2009. View at Publisher · View at Google Scholar · View at Scopus
  50. F. Cai, X. Liao, and K. Wang, “A progressive multiple criteria sorting approach based on additive utility functions considering imprecise information,” International Journal of Innovative Computing, Information and Control, vol. 7, no. 5, pp. 2727–2738, 2011. View at Google Scholar · View at Scopus
  51. S. Greco, M. Kadziński, V. Mousseau, and R. Słowiński, “Robust ordinal regression for multiple criteria group decision: UTAGSM-GROUP and UTADISGSM-Group,” Decision Support Systems, vol. 52, no. 3, pp. 549–561, 2012. View at Publisher · View at Google Scholar · View at Scopus
  52. S. Greco, M. Kadziski, and R. SŁowiński, “Selection of a representative value function in robust multiple criteria sorting,” Computers & Operations Research, vol. 38, no. 11, pp. 1620–1637, 2011. View at Publisher · View at Google Scholar · View at Scopus
  53. M. Kadziński, S. Greco, and R. Słowiński, “Selection of a representative value function for robust ordinal regression in group decision making,” Group Decision & Negotiation, vol. 22, no. 3, pp. 429–462, 2013. View at Publisher · View at Google Scholar · View at Scopus
  54. M. Kadziński and T. Tervonen, “Stochastic ordinal regression for multiple criteria sorting problems,” Decision Support Systems, vol. 55, no. 1, pp. 55–66, 2013. View at Publisher · View at Google Scholar · View at Scopus
  55. A. T. de Almeida, C. A. V. Cavalcante, M. H. Alencar, R. J. P. Ferreira, A. T. de Almeida-Filho, and T. V. Garcez, Multicriteria and Multiobjective Models for Risk Reliability and Maintenance Decision Analysis, vol. 231 of International Series in Operations Research & Management Science, Springer, New York, NY, USA, 2015.