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  • 标题:Fuzzy solution of fully fuzzy multi-objective linear fractional programming problems
  • 本地全文:下载
  • 作者:Ganesan Kandasamy ; T.Loganathan
  • 期刊名称:Pakistan Journal of Statistics and Operation Research
  • 印刷版ISSN:2220-5810
  • 出版年度:2021
  • 卷号:17
  • 期号:4
  • 页码:817-825
  • DOI:10.18187/pjsor.v17i4.3368
  • 语种:English
  • 出版社:College of Statistical and Actuarial Sciences
  • 摘要:In this study, we present a novel method for solving fully fuzzy multi-objective linear fractional programming problems without transforming to equivalent crisp problems. First, we calculate the fuzzy optimal value for each fractional objective function and then we convert the fully fuzzy multi-objective linear fractional programming problem to a single objective fuzzy linear fractional programming problem and ï¬nd its fuzzy optimal solution which inturn yields a fuzzy Pareto optimal solution for the given fully fuzzy multi-objective linear fractional programming problem. To demonstrate the proposed strategy, a numerical example is provided.
  • 关键词:Multi-objective linear fractional programming;triangular fuzzy numbers;parametric form;fuzzy arithmetic;fuzzy ranking
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