Proceedings of the Korean Institute of Intelligent Systems Conference (한국지능시스템학회:학술대회논문집)
- 1993.06a
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- Pages.810-813
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- 1993
A Study on a Multi-Attribute Decision Making Process Using Fuzzy Neural Network
- Hashiyama, Tomonori (Dept. of Electronic Mechanical Engineering, Nagoya University) ;
- Furuhashi, Takeshi (Dept. of Electronic Mechanical Engineering, Nagoya University) ;
- Uchikawa, Yoshiki (Dept. of Electronic Mechanical Engineering, Nagoya University)
- Published : 1993.06.01
Abstract
In multi-attribute decision making, human beings influenced with various factors often change their decisions. This paper presents a new approach to express the changes in the decision makings when they got new information. The new approach uses the fuzzy neural network (FNN) which has been proposed by the authors. The FNN identifies the weights to the attributes with the back propagation learning. Through experiments, it is shown that the changes of subjects' decision can be described by the changes of their weights to the attributes.
Keywords