2016 Fiscal Year Final Research Report
Robustness Concern in Flexible Decision Aiding
| Project/Area Number |
26350423
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Osaka University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
ENTANI Tomoe 兵庫県立大学, 応用情報科学研究科, 准教授 (10346702)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | ルール抽出 / 多基準意思決定問題 / ロバスト性 / 補填ルール / 不精密ルール / UTA / AHP / 区間モデル |
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| Outline of Final Research Achievements |
We consider the robustness in methods for flexible decision aiding which suggest rational evaluations efficiently. We studied on the construction of a set of rules which does not provide quite wrong results even when only a part of conditions is satisfied. We also studied on interval models to express the vagueness underlying the insufficiency and conflict in given preference information, so that we avoid forcible evaluations. We have shown that the robustness in the accuracy of class estimation is significantly improved by supplementing and coarsening rules, and that proper interval models are identified from preference information simply by solving linear programming problems.
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| Free Research Field |
システム計画数理
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