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  • 标题:Solving a Linear Programming with Fuzzy Constraint and Objective Coefficients
  • 本地全文:下载
  • 作者:Hamid Reza Erfanian ; Mohammad Javad Abdi ; Sahar Kahrizi
  • 期刊名称:International Journal of Intelligent Systems and Applications
  • 印刷版ISSN:2074-904X
  • 电子版ISSN:2074-9058
  • 出版年度:2016
  • 卷号:8
  • 期号:7
  • 页码:65-72
  • DOI:10.5815/ijisa.2016.07.07
  • 出版社:MECS Publisher
  • 摘要:In this paper, we consider a method for solving a linear programming problem with fuzzy objective and coefficient matrix, where the fuzzy numbers are supposed to be triangular. By the proposed method, the Decision Maker will have the flexibility of choosing. The solving method is based on the Pareto algorithm, which converts the problem to a weighted-objective linear programming. For more illustration, after discussing the problem and the algorithm, we present an example, which its solutions are independent from the objective weights.
  • 关键词:Fuzzy Linear Programming;Fuzzy Numbers;Pareto Algorithm;Multi-Objective Linear Programming
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