| 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
|
| 巻 | 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
|
