Table of Contents Author Guidelines Submit a Manuscript
Mathematical Problems in Engineering
Volume 2013, Article ID 859537, 12 pages
http://dx.doi.org/10.1155/2013/859537
Research Article

Hybrid Multicriteria Group Decision Making Method for Information System Project Selection Based on Intuitionistic Fuzzy Theory

School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China

Received 10 August 2013; Revised 18 November 2013; Accepted 19 November 2013

Academic Editor: Hao-Chun Lu

Copyright © 2013 Jian Guo. 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. H. Deng and S. Wibowo, “Intelligent decision support for evaluating and selecting information systems projects,” Engineering Letters, vol. 16, no. 3, pp. 412–418, 2008. View at Google Scholar
  2. C.-H. Yeh, H. Deng, S. Wibowo, and Y. Xu, “Fuzzy multicriteria decision support for information systems project selection,” International Journal of Fuzzy Systems, vol. 12, no. 2, pp. 170–179, 2010. View at Google Scholar · View at Scopus
  3. C.-T. Chen and H.-L. Cheng, “A comprehensive model for selecting information system project under fuzzy environment,” International Journal of Project Management, vol. 27, no. 4, pp. 389–399, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. J. L. King and E. L. Schrems, “Cost-benefit analysis in information systems development and operation,” ACM Computing Surveys, vol. 10, no. 1, pp. 19–34, 1978. View at Publisher · View at Google Scholar · View at Scopus
  5. H. C. Lucas and J. R. Moore, “A multiple-criterion scoring approach to information system project selection,” Information, vol. 14, no. 1, pp. 1–12, 1976. View at Google Scholar
  6. M. D. Buss, “How to rank computer projects,” Harvard Business Review, vol. 61, no. 1, pp. 118–125, 1983. View at Google Scholar · View at Scopus
  7. J. D. McKeen and T. Guimaraes, “Selecting mis projects by steering committee,” Communications of the ACM, vol. 28, no. 12, pp. 1344–1352, 1985. View at Publisher · View at Google Scholar · View at Scopus
  8. K. Muralidhar, R. Santhanam, and R. L. Wilson, “Using the analytic hierarchy process for information system project selection,” Information and Management, vol. 18, no. 2, pp. 87–95, 1990. View at Publisher · View at Google Scholar · View at Scopus
  9. M. A. Badri, D. Davis, and D. Davis, “A comprehensive 0-1 goal programming model for project selection,” International Journal of Project Management, vol. 19, pp. 243–252, 2001. View at Google Scholar
  10. S. Nalchigar and S. M. Nasserazdeh, “Application of DEA for selecting most efficient information system project with imprecise data,” International Journal of Mathematical Modeling and Computations, vol. 1, no. 1, pp. 15–25, 2011. View at Google Scholar
  11. J. W. Lee and S. H. Kim, “Integrated approach for interdependent information system project selection,” International Journal of Project Management, vol. 19, no. 2, pp. 111–118, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. W. W. Wu, “A hybrid approach to IT project selection,” WSEAS Transactions on Business and Economics, vol. 5, no. 6, pp. 361–371, 2008. View at Google Scholar
  13. C. E. Bozdag, C. Kahraman, and D. Ruan, “Fuzzy group decision making for selection among computer integrated manufacturing systems,” Computers in Industry, vol. 51, no. 1, pp. 13–29, 2003. View at Publisher · View at Google Scholar · View at Scopus
  14. L. A. Zadeh, “Fuzzy sets,” Information and Computation, vol. 8, pp. 338–353, 1965. View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  15. M. Delgado, J. L. Verdegay, and M. A. Vila, “Linguistic decision-making models,” International Journal of Intelligent Systems, vol. 7, no. 5, pp. 479–492, 1992. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  16. K. T. Atanassov, “Intuitionistic fuzzy sets,” Fuzzy Sets and Systems, vol. 20, no. 1, pp. 87–96, 1986. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  17. S. K. De, R. Biswas, and A. R. Roy, “An application of intuitionistic fuzzy sets in medical diagnosis,” Fuzzy Sets and Systems, vol. 117, no. 2, pp. 209–213, 2001. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  18. D.-F. Li, “Multiattribute decision making models and methods using intuitionistic fuzzy sets,” Journal of Computer and System Sciences, vol. 70, no. 1, pp. 73–85, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  19. D.-F. Li, “Extension of the LINMAP for multiattribute decision making under Atanassov's intuitionistic fuzzy environment,” Fuzzy Optimization and Decision Making, vol. 7, no. 1, pp. 17–34, 2008. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  20. L. Dengfeng and C. Chuntian, “New similarity measures of intuitionistic fuzzy sets and application to pattern recognitions,” Pattern Recognition Letters, vol. 23, no. 1–3, pp. 221–225, 2002. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  21. I. K. Vlachos and G. D. Sergiadis, “Intuitionistic fuzzy information—applications to pattern recognition,” Pattern Recognition Letters, vol. 28, no. 2, pp. 197–206, 2007. View at Publisher · View at Google Scholar · View at Scopus
  22. 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
  23. F. Ye, “An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection,” Expert Systems with Applications, vol. 37, no. 10, pp. 7050–7055, 2010. View at Publisher · View at Google Scholar · View at Scopus
  24. S.-F. Zhang and S.-Y. Liu, “A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection,” Expert Systems with Applications, vol. 38, no. 9, pp. 11401–11405, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. V. C. Gerogiannis, P. Fitsilis, and A. D. Kameas, “Using a combined intuitionistic fuzzy set-TOPSIS method for evaluating project and portfolio management information systems,” IFIP Advances in Information and Communication Technology, vol. 364, no. 2, pp. 67–81, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. C. Y. Liang, E. Q. Zhang, X. W. Qing, and Q. Lu, “A method of multi-attribute group decision making with incomplete hybrid assessment information,” Chinese Journal of Management Science, vol. 17, no. 4, pp. 126–132, 2009. View at Google Scholar
  27. W. Wang and M. Cui, “Hybrid multiple attribute decision making model based on entropy,” Journal of Systems Engineering and Electronics, vol. 18, no. 1, pp. 72–75, 2007. View at Publisher · View at Google Scholar · View at Scopus
  28. F. Herrera, L. Martínez, and P. J. Sánchez, “Managing non-homogeneous information in group decision making,” European Journal of Operational Research, vol. 166, no. 1, pp. 115–132, 2005. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  29. L. Martínez, J. Liu, D. Ruan, and J.-B. Yang, “Dealing with heterogeneous information in engineering evaluation processes,” Information Sciences, vol. 177, no. 7, pp. 1533–1542, 2007. View at Publisher · View at Google Scholar · View at Scopus
  30. Y.-J. Si and F.-J. Wei, “Hybrid multi-attribute decision making based on the intuitionistic fuzzy optimum selecting model,” Systems Engineering and Electronics, vol. 31, no. 12, pp. 2893–2897, 2009. View at Google Scholar · View at Scopus
  31. C. Y. Liang, X. W. Qi, Y. Ding, and Y. J. Leng, “A hybrid multi-criteria group decision making with TOPSIS method,” Chinese Journal of Management Science, vol. 12, no. 4, pp. 126–132, 2012. View at Google Scholar
  32. K. H. Guo and W. L. Li, “An attitudinal-based method for constructing intuitionistic fuzzy information in hybrid MADM under uncertainty,” Information Sciences, vol. 208, no. 15, pp. 28–38, 2012. View at Google Scholar
  33. X.-W. Chen, W.-S. Wang, G.-B. Song, and D.-Y. Song, “Hybrid multiattribute decision making based on fuzzy preference relation,” Systems Engineering and Electronics, vol. 34, no. 3, pp. 529–533, 2012. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  34. Z. S. Xu and R. R. Yager, “Some geometric aggregation operators based on intuitionistic fuzzy sets,” International Journal of General Systems, vol. 35, no. 4, pp. 417–433, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  35. Z. S. Xu, “Intuitionistic fuzzy aggregation operators,” IEEE Transactions on Fuzzy Systems, vol. 15, no. 6, pp. 1179–1187, 2007. View at Publisher · View at Google Scholar · View at Scopus
  36. E. Szmidt and J. Kacprzyk, “Distances between intuitionistic fuzzy sets,” Fuzzy Sets and Systems, vol. 114, no. 3, pp. 505–518, 2000. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  37. V.-N. Huynh and Y. Nakamori, “A satisfactory-oriented approach to multiexpert decision-making with linguistic assessments,” IEEE Transactions on Systems, Man, and Cybernetics B, vol. 35, no. 2, pp. 184–196, 2005. View at Publisher · View at Google Scholar · View at Scopus
  38. A. de Luca and S. Termini, “A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory,” Information and Computation, vol. 20, pp. 301–312, 1972. View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  39. P. Burillo and H. Bustince, “Entropy on intuitionistic fuzzy sets and on interval-valued fuzzy sets,” Fuzzy Sets and Systems, vol. 78, no. 3, pp. 305–316, 1996. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  40. E. Szmidt and J. Kacprzyk, “Entropy for intuitionistic fuzzy sets,” Fuzzy Sets and Systems, vol. 118, no. 3, pp. 467–477, 2001. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  41. W.-L. Hung and M.-S. Yang, “Fuzzy entropy on intuitionistic fuzzy sets,” International Journal of Intelligent Systems, vol. 21, no. 4, pp. 443–451, 2006. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  42. Y. Wang and Y.-J. Lei, “A technique for constructing intuitionistic fuzzy entropy,” Control and Decision, vol. 22, no. 12, pp. 1390–1394, 2007. View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  43. J. J. Jiang and G. Klein, “Project selection criteria by strategic orientation,” Information and Management, vol. 36, no. 2, pp. 63–75, 1999. View at Publisher · View at Google Scholar · View at Scopus
  44. R. Santhanam and J. Kyparisis, “A multiple criteria decision model for information system project selection,” Computers and Operations Research, vol. 22, no. 8, pp. 807–818, 1995. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  45. R. Santhanam and G. J. Kyparisis, “A decision model for interdependent information system project selection,” European Journal of Operational Research, vol. 89, no. 2, pp. 380–399, 1996. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at Scopus
  46. K. Chen and N. Gorla, “Information system project selection using fuzzy logic,” IEEE Transactions on Systems, Man, and Cybernetics Part A, vol. 28, no. 6, pp. 849–855, 1998. View at Publisher · View at Google Scholar · View at Scopus