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ID 30022
フルテキストURL
著者
Tanaka, Masahiro Okayama University
Watanabe, Hikaru Okayama University
Furukawa, Yasuyuki Okayama University
Tanino, Tetsuzo Okayama University
抄録

Proposes a multicriteria decision making (MCDM) method by using a genetic algorithm (GA). The system consists of three phases. In the first phase, a rough set of Pareto optimal solutions is obtained using Kohonen's self organizing map (SOM). In the second phase, the decision maker (DM) selects his preferred solutions among the obtained set, where the mechanism of GA is used with the DM's preference assisted by radial basis function network (RBFN). In the third phase, the DM can explore the solution space further for the final decision

キーワード
decision support systems
decision theory
feedforward neural nets
genetic algorithms
optimisation
self-organising feature maps
備考
Digital Object Identifier: 10.1109/ICSMC.1995.537993
Published with permission from the copyright holder. This is the institute's copy, as published in Systems, Man and Cybernetics, 1995. 'Intelligent Systems for the 21st Century'., IEEE International Conference on, 22-25 Oct. 1995, Vol. 2, Pages 1556-1561.
Publisher URL:http://dx.doi.org/10.1109/ICSMC.1995.537993
Copyright © 1995 IEEE. All rights reserved.
発行日
1995-10
出版物タイトル
Systems
2巻
開始ページ
1556
終了ページ
1561
資料タイプ
学術雑誌論文
言語
English
査読
有り
DOI
Submission Path
industrial_engineering/57