A compromise model for solving fuzzy multiple objective linear programming problems

Yan Kuen Wu*, Sy Ming Guu

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

28 Scopus citations


Two-phase approach had been proposed to generate an efficient solution for the multiple objective linear programming problems [MOLP]. In this research, we shall show a revised two-phase approach to the case of the fuzzy multiple objectives linear programming problems [FMOLP]. This revised model can improve the optimal decision obtained from min operator. Moreover, a compromise model embedded two-phase approach and average operator will be proposed to yield a fuzzy-efficient solution between non-compensatory and fully compensatory. More precisely, one compromise index to the membership function can be adjusted by decision-maker to reveal the way of change on degree of satisfaction for each objective and fuzzy constraint. One numerical example is employed to illustrate our assertions.

Original languageEnglish
Pages (from-to)87-93
Number of pages7
JournalJournal of the Chinese Institute of Industrial Engineers
Issue number5
StatePublished - 2001
Externally publishedYes


  • Fuzzy multiple objective linear programming
  • Two-phase approach


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