A neural network approach to modeling fuzzy preference relations for multiple criteria decision making

Jun Wang

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

This paper describes a neural network approach for modeling decision makers' fuzzy preference structures. A general feedforward neural network is introduced as a representation of membership function for fuzzy preference relations. A new learning algorithm is proposed for training the neural network to learn fuzzy preference structures. Simulation results show that the proposed neural network approach is capable of modeling a variety of fuzzy preference structures.

Original languageEnglish
Pages (from-to)991-1000
Number of pages10
JournalComputers and Operations Research
Volume21
Issue number9
DOIs
Publication statusPublished - Nov 1994
Externally publishedYes

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