Interactive decision making for large scale multiobjective multi-level systems in fuzzy and stochastic environments

模糊随机环境下大规模多目标多级系统的交互式决策

• 批准号: 14380193
• 负责人: SAKAWA Masatoshi
• 金额: $ 2.24万
• 依托单位: HIROSHIMA UNIVERSITY
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (B)
• 财政年份: 2002
• 资助国家: 日本
• 起止时间: 2002 至 2004
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-14380193/
• 关键词: multiobjective systems; large scale systems; fuzzy systems; multilevel systems; fuzzy programming; stochastic programming; multiobjective programming; interactive decision making; ファジイ計画法

To derive rational and convincible solutions to practical decision making problems in complex and hierarchical human organizations, the decision making problems are formulated as mathematical programming problems involving fuzzy and/or random variable coefficients. Especially, for resolving conflict in decision making in hierarchical managerial or public organizations, formulation of multi-level mathematical programming problems has been often employed.In this research, we dealt with two-level or multi-level multiobjective programming problems in fuzzy and/or stochastic environments and propose computational methods for deriving mutual cooperative solutions (satisfactory solutions) to the problems. Considering the necessity for cooperative fuzzy decision making in the multi-level multiobjective programming, interactive fuzzy programming methods for multilevel linear and discrete programming problems are presented in fuzzy and/or stochastic environments. The research program consisted of the following two parts :1.We developed interactive fuzzy programming for multi-level programming problems in fuzzy and/or stochastic environments.2.We investigated interactive fuzzy decision making for multiobjective programming problems in fuzzy and/or stochastic environments..We have published the obtained results of the above research program in domestic and international journals of the related fields and have also presented several papers in international conferences in 2002-2004. Moreover we intend to contribute some papers to domestic and international journals.

为了对复杂的、层次分明的人类组织中的实际决策问题得到合理且令人信服的解，决策问题被描述为涉及模糊和/或随机变量系数的数学规划问题。尤其是在层次化的管理或公共组织中，为了解决决策中的冲突问题，经常采用多层数学规划问题的形式.在本研究中，我们研究了模糊和/或随机环境中的两层或多层多目标规划问题，并提出了获得问题的相互合作解(满意解)的计算方法.针对多层多目标规划中合作模糊决策的必要性，提出了在模糊和/或随机环境下求解多层线性和离散规划问题的交互式模糊规划方法。1.研究了模糊和/或随机环境下多层规划问题的交互式模糊规划问题。2.研究了模糊和/或随机环境下多目标规划问题的交互式模糊决策问题，在国内外相关期刊上发表了上述研究成果，并在2002-2004年的国际会议上发表了多篇论文。此外，我们还打算向国内和国际期刊投稿。

项目成果

加藤浩介: "多目的確率線形計画問題に対する分散最小化モデルに基づく対話型ファジィ満足化手法"日本ファジィ学会誌. 14・4. 404-411 (2002)

加藤浩介：“基于方差最小化模型的多目标随机线性规划问题的交互式模糊满足方法”日本模糊学会杂志14・4（2002）。

Masatoshi Sakawa: "Interactive fuzzy programming for decentralized two-level linear programming problems"Fuzzy Sets and Systems. 125・3. 289-300 (2002)

Masatoshi Sakawa：“分散两级线性规划问题的交互式模糊规划”模糊集和系统125・3（2002）。

An interactive fuzzy satisficing method based on the fractile optimization model using possibility and necessity measures for a fuzzy random multiobjective linear programming problem (in Japanese)

基于分位优化模型的交互式模糊满足方法，使用模糊随机多目标线性规划问题的可能性和必要性度量（日语）

• 发表时间: 2004
• 期刊: The IEICE Transactions on Fundamentals of Electronics and Computer Sciences (Japanese Edition) J87A-5
• 作者: 阿部島誉幸;森 雅夫;T.Inagaki;嵯峨山茂樹;Hideki Kadagiri
• 通讯作者: Hideki Kadagiri

確率変数係数を含む多目的0-1計画問題に対する期待値を考慮した分散最小化モデルに基づく対話型ファジィ満足化手法

考虑期望值的含随机变量系数的多目标0-1规划问题基于方差最小化模型的交互式模糊满意方法

• 发表时间: 2004
• 期刊: 日本知能情報ファジィ学会誌 16・3
• 作者: 加藤浩介

沈 永新: "多目的2レベル0-1計画問題に対する遺伝的アルゴリズムによる選好に関する部分的情報を用いた対話型ファジィ計画法"日本知能情報ファジイ学会誌. 15・2. 209-218 (2003)

沉永新：“通过遗传算法使用部分偏好信息的交互式模糊规划解决多目标2级0-1规划问题”日本智能信息模糊学会杂志15・2（2003）。