This article proposes to handle multiobjectivelinearfractionalprogramming (MOLFP) problems in fuzzy environment. As a generalized mean value theorem first order Taylor series approach is used to convert multi obje...
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ISBN:
(纸本)9781509002252
This article proposes to handle multiobjectivelinearfractionalprogramming (MOLFP) problems in fuzzy environment. As a generalized mean value theorem first order Taylor series approach is used to convert multiobjectivelinearfractionalprogramming to multiobjectivelinearprogramming problem by introducing imprecise aspiration level to each objective. Then additive weighted method has been used to get its solution. It has been observed that optimality reached for different weight values of the membership function for the different objective functions. The method has been presented by an algorithm and sensitivity analysis for the fuzzymultiobjectivelinearfractionalprogramming (FMOLFP) problem with respect to aspiration level and tolerance limit are also presented. The present approach is demonstrated with one numerical example.
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