|
JAIST Repository >
科学技術開発戦略センター 2003～2008 >
z2-70. JAIST PRESS 発行誌等 >
IFSR 2005 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/3936
|
| タイトル: | Decision Engineering Methodology |
| 著者: | Kazimierz, Zaras
Christian, Fonteix
Laszlo, Kiss
Jules, Thibault |
| キーワード: | neural network
genetic algorithm
Pareto domain
Rough Set Method
multi-criteria analysis
preferences
robustness analysis |
| 発行日: | Nov-2005 |
| 出版者: | JAIST Press |
| 抄録: | In industry, decision makers are often confronted with multiobjective decision problems that are not easy to resolve. In this paper we suggest a comprehensive methodology which allows us to determine an adequate model predicting the performance criteria, to discretize the Pareto domain defined in terms of input parameters and to classify of large number of possible solutions from the Pareto domain with decision rules which are based on decision maker preferences. These rules are then applied to determine the preferred zone of operation. The whole approach we call the decision engineering methodology. |
| 記述: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2146, Kobe, Japan
Symposium 1, Session 7 : Technology Creation Based on Knowledge Science Modeling and Systems(1) |
| 言語: | ENG |
| URI: | http://hdl.handle.net/10119/3936 |
| ISBN: | 4-903092-02-X |
| 出現コレクション: | IFSR 2005
|
このアイテムのファイル:
| ファイル |
記述 |
サイズ | 形式 |
|---|
| 20007.pdf | | 39Kb | Adobe PDF | 見る/開く |
|
当システムに保管されているアイテムはすべて著作権により保護されています。
|
