Fuzzy Multiple Attribute Decision Making - Methods and Applications

By Shu-Jen Chen, C. Hwang. 1992

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An Overview of Distance and Similarity Measures of Intuitionistic Fuzzy Sets (2008, methodology): “1, then motivated by the idea of the TOPSIS of Hwang and Yoon [25], we modify (13) as:”
A GP-AHP method for solving group decision-making fuzzy AHP problems (2002, methodology): “[34] and LINnear programming techniques for multidimensional analysis of preference (LINMAP) initially presented by Srinivasan et al.”
Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS (2004, methodology): “TOPSIS (technique for order preference by similarity to an ideal solution) method is presented in Chen and Hwang (1992), with reference to Hwang and Yoon (1981).”
New decision-making techniques and their application in the selection of financial products (2010, methodology): “Note that these methods follow a methodology similar to the TOPSIS approach [6,19,36] because they are based on the use of distance measures such as the Hamming distance.”
Extension of the TOPSIS method for decision-making problems with fuzzy data (2006, methodology): “In classical MCDM methods, the ratings and the weights of the criteria are known precisely [3,4].”