"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
Abstract:
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.
