Extended VIKOR method based on cross-entropy for interval-valued intuitionistic fuzzy multiple criteria group decision making

  • Authors:

  • Xinye Zhao;Shuai Tang;Shanliang Yang;Kedi Huang

  • Affiliations:

  • College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China;College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China;College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China;College of Mechatronics Engineering and Automation, National University of Defense Technology, Changsha, Hunan Province, China

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2013

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Abstract

With respect to multiple criteria group decision making problems with conflicting and non-commensurable criteria, it is generally difficult to find an alternative that meets all the criteria simultaneously. By extending the fuzzy VIKOR method, this study provides a rational and systematic process for developing the best alternative and compromise solution under the interval-valued intuitionistic fuzzy environment. Furthermore, a fuzzy cross-entropy approach is proposed to state the discrimination measure between optional and optimal interval-valued intuitionistic fuzzy numbers. Finally, to expatiate on the practical value of the method proposed, an illustrative example is presented to demonstrate its practicality and effectiveness over existing TOPSIS method.