| ID | 30022 |
| FullText URL | |
| Author |
Tanaka, Masahiro
Watanabe, Hikaru
Furukawa, Yasuyuki
Tanino, Tetsuzo
|
| Abstract | 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 |
| Keywords | decision support systems
decision theory
feedforward neural nets
genetic algorithms
optimisation
self-organising feature maps
|
| Note | 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. |
| Published Date | 1995-10
|
| Publication Title |
Systems
|
| Volume | volume2
|
| Start Page | 1556
|
| End Page | 1561
|
| Content Type |
Journal Article
|
| language |
英語
|
| Refereed |
True
|
| DOI | |
| Submission Path | industrial_engineering/57
|
