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  • 标题:Solving Intuitionistic Fuzzy Linear Programming Problem—II
  • 本地全文:下载
  • 作者:Arpita Kabiraj ; Prasun Kumar Nayak ; Swapan Raha
  • 期刊名称:International Journal of Intelligence Science
  • 印刷版ISSN:2163-0283
  • 电子版ISSN:2163-0356
  • 出版年度:2019
  • 卷号:9
  • 期号:4
  • 页码:93-110
  • DOI:10.4236/ijis.2019.94006
  • 出版社:Scientific Research Publishing
  • 摘要:Under non-random uncertainty, a new idea of finding a possibly optimal solution for linear programming problem is examined in this paper. It is an application of the intuitionistic fuzzy set concept within scope of the existing fuzzy optimization. Here, we solve a linear programming problem (LPP) in an intuitionistic fuzzy environment and compare the result with the solution obtained from other existing techniques. In the process, the result of associated fuzzy LPP is also considered for a better understanding..
  • 关键词:Fuzzy Linear Programming Problem (FLPP);Intuitionistic Fuzzy Set (IFS);Intuitionistic Fuzzy Number (IFN);Intuitionistic Fuzzy Linear Programming Problem (IFLPP)
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