A COMPROMISE MODEL FOR SOLVING FUZZY MULTIPLE OBJECTIVE LINEAR PROGRAMMING PROBLEMS
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...
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| Vydáno v: | Journal of the Chinese Institute of Industrial Engineers Ročník 18; číslo 5; s. 87 - 93 |
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| Hlavní autoři: | , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Taylor & Francis Group
01.01.2001
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| Témata: | |
| ISSN: | 1017-0669, 2151-7606 |
| On-line přístup: | Získat plný text |
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| Shrnutí: | 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. |
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| ISSN: | 1017-0669 2151-7606 |
| DOI: | 10.1080/10170660109509508 |