Interactive decision making for hierarchical multiobjective fuzzy random programming problems
Project/Area Number |
23510176
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Social systems engineering/Safety system
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Research Institution | Nagoya City University |
Principal Investigator |
HITOSHI Yano 名古屋市立大学, 人文社会系研究科, 教授 (00166563)
|
Project Period (FY) |
2011 – 2013
|
Project Status |
Completed (Fiscal Year 2013)
|
Budget Amount *help |
¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
|
Keywords | 階層型多目的計画問題 / ファジィランダム変数 / パレート最適解 / 対話型意思決定 / 満足解 / 多目的計画法 / 農業計画問題 / 対話型手法 / 階層構造 / 多目的計画 / 対話型アルゴリズム / 多目的最適化 / ファジィランダム変数係数 |
Research Abstract |
In this paper, we focus on multiobjective fuzzy random programming problems and hierarchical multiobjective fuzzy random programming problems, and propose four kinds of interactive fuzzy decision making methods to obtain a satisfactory solution of the decision maker(s). In the proposed methods, it is assumed that the decision maker(s) has(have) fuzzy goals for not only permissible objective levels of a probability maximization model but also permissible stochastic levels of a fractile criterion optimization model, and such fuzzy goals are quantified by eliciting the corresponding membership functions. The satisfactory solution is obtained on the basis of linear programming or convex programming technique.
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Report
(4 results)
Research Products
(45 results)