Systems Engineering and Electronics ›› 2019, Vol. 41 ›› Issue (11): 2524-2532.doi: 10.3969/j.issn.1001-506X.2019.11.16

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Extended VIKOR method of multi-attribute decision making under intuitionistic fuzzy environment based on a new distance measure

WANG Rugen, LI Weimin, LUO Xiao, LYU Chengzhong   

  1. Graduate School, Air Force Engineering University, Xi’an 710051, China
  • Online:2019-10-30 Published:2019-11-05

Abstract: A multi-attribute decision making method is proposed based on an intuitionistic fuzzy distance and VlseKriterijumska optimizacija I kompromisno resenje (VIKOR) for multi-attribute decision making problems in which attribute and decision maker weight are unknown and scheme attribute values are intuitionistic fuzzy numbers while fully considering the information non-specificity in the intuitionistic fuzzy environment. Firstly, the definition of intuitionistic fuzzy measure is extended and an intuitionistic fuzzy distance formula is constructed to reduce the lack of decision information on this basis, intuitionistic fuzzy entropy is used to determine the attribute and decision maker weight, and then the new intuitionistic fuzzy distance is applied to calculate the group utility and individual regret of VIKOR to obtain the decision result. Finally, the rationality and effectiveness of the method are verified by actual case analysis.


Key words: multi-attribute decision making (MADM), intuitionistic fuzzy numbers, information volatility, intuitionistic fuzzy distance measure, VlseKriterijumska optimizacija I kompromisno resenje (VIKOR) method

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