Article ID: | iaor19951849 |
Country: | United Kingdom |
Volume: | 21 |
Issue: | 9 |
Start Page Number: | 991 |
End Page Number: | 1000 |
Publication Date: | Nov 1994 |
Journal: | Computers and Operations Research |
Authors: | Wang Jun |
Keywords: | fuzzy sets, decision theory: multiple criteria |
This paper describes a neural network approach for modeling decision maker’s 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.