TOPSIS-Based Nonlinear-Programming Methodology for Multiattribute Decision Making With Interval-Valued Intuitionistic Fuzzy Sets

By Dengfeng Li. IEEE transactions on fuzzy systems, 2010

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Some Hamacher Aggregation Operators Based on the Interval-Valued Intuitionistic Fuzzy Numbers and Their Application to Group Decision Making (2014, methodology): “Li [13] proposed the nonlinear-programming models to solve MADM problems with both ratings of alternatives on attributes and weights of attributes expressed with IVIF sets on the basis of the concepts of the relative-closeness coefficient of the TOPSIS method.”
Intuitionistic Fuzzy Information Aggregation Using Einstein Operations (2012, methodology): “In the future, we will extend the proposed aggregation operators to deal with interval-valued intuitionistic fuzzy MADM problems [43], and we will apply them to some applications such as the game theory [45], image processing [10], and cluster analysis [42].”
A state-of the-art survey of TOPSIS applications (2012, methodology): “…decision-making Fuzzy TOPSIS Wu, Lin, and Lin (2009) Selecting the preferable bancassurance alliance to solve the finance alliance problem AHP Wu, Lin, and Lee (2010) Determining the most appropriate marketing strategy for private hotel managers ANP Ye (2010) Partner selection in forming a new…”