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  • 标题:Interactive Decision Making through the Variance Minimization Model Using a Possibility Measure for Fuzzy Random Multiobjective Linear Programming Problems
  • 本地全文:下载
  • 作者:Hideki KATAGIRI ; Masatoshi SAKAWA ; Kosuke KATO
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2005
  • 卷号:17
  • 期号:4
  • 页码:450-458
  • DOI:10.3156/jsoft.17.450
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:This paper considers multiobjective linear programming problems involving fuzzy random variable coefficients and examines interactive decision making to derive a satisficing solution for a decision maker. After introducing a fuzzy goal for each objective function, a problem to maximize a degree of possibility that each objective function satisfies the fuzzy goal is formulated. By considering the fact that the degree of possibility varies randomly, a fuzzy random programming model to minimize the variance of the degree, which is based on the variance minimization model in stochastic programming, is proposed. In order to find a satisficing solution for a decision maker, an interactive algorithm based on the reference point method is constructed. Finally, a numerical example of a production planning problem in agriculture is provided to demonstrate the usefulness of the proposed model.
  • 关键词:Multiobjective linear programming problem ; fuzzy random variable ; possibility measure ; variance minimization model ; interactive decision making
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