Abstract
Fuzzy preference information is an essential ingredient in multiple criteria decision making in fuzzy environments. This paper describes a neural network approach for modeling decision makers' fuzzy preference structures. The results presented in this paper show that the proposed neural network approach is capable of modeling a variety of fuzzy preference structures.
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