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.
Perspectives
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. This approach provides an easy and simple analyst mathematical programming problem.
Dr. PAVAN KUMAR
VIT Bhopal University
Read the Original
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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