What is it about?
This article attempts to study cost minimizing multi-objective fractional solid transportation problem with fuzzy cost coefficients c˜ijkr , fuzzy supply quantities a˜i, fuzzy demandsb˜j, and/or fuzzy conveyances e˜k. The fuzzy efficient concept is introduced in which the crisp efficient solution is extended. A necessary and sufficient condition for the solution is established.
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Why is it important?
Fuzzy geometric programming approach is applied to solve the crisp problem by defining membership function so as to obtain the optimal compromise solution of a multi-objective two-stage problem. A linear membership function for the objective function is defined. The stability set of the first kind is defined and determined. A numerical example is given for illustration and to check the validity of the proposed approach.
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This page is a summary of: On characterizing solution for multi-objective fractional two-stage solid transportation problem under fuzzy environment, Journal of Intelligent Systems, January 2021, De Gruyter, DOI: 10.1515/jisys-2020-0095.
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