"Development and Evaluation of Five Fuzzy Multi-Attribute Decision-Making Methods"

Approximate Reasoning, 1996, Vol. 14, No. 4, pp. 281-310.

Evangelos Triantaphyllou and Chi-Tun Lin

We present the development of five fuzzy multi-attribute decision-making methods. These methods are based on the analytic hierarchy process (original and ideal mode), the weighted sum model, the weighted product model, and the TOPSIS method. Moreover, these methods are examined in terms of two evaluative criteria. Computational results on test problems suggest that although all the methods are inaccurate, some of them seem to be more accurate than the others. The proposed evaluation methodology can easily be used in evaluating more fuzzy multi-attribute decision making methods.

Key Words:
Fuzzy decision-making, multi-attribute decision-making, ranking of fuzzy numbers, pairwise comparisons, the analytic hierarchy process, the weighted sum model, the weighted product model, the TOPSIS method.

Download this paper as a PDF file (size = 2,560 KB).

Visit Dr. Triantaphyllou's homepage.