New Advances on Fuzzy Linear Programming Problem by Semi-Infinite Programming Approach

As we are faced with more uncertainty problems in the real world, it is necessary to ‎provide ‎models that can provide appropriate solutions for dealing with these issues. In this ‎study, we ‎ proposed a new approach to solving linear programming problem in the fuzzy ‎environment ‎based on solving ‎...

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Bibliographic Details
Published in:Gazi University Journal of Science Vol. 35; no. 3; pp. 1062 - 1076
Main Authors: ZAVİEH, Hadi, NASSERI, Hadi, TRIKI, Chefi
Format: Journal Article
Language:English
Published: 01.09.2022
ISSN:2147-1762, 2147-1762
Online Access:Get full text
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Summary:As we are faced with more uncertainty problems in the real world, it is necessary to ‎provide ‎models that can provide appropriate solutions for dealing with these issues. In this ‎study, we ‎ proposed a new approach to solving linear programming problem in the fuzzy ‎environment ‎based on solving ‎a related multi-objective model. This kind of problem can be ‎reduced to a ‎fuzzy linear semi-infinite programming problem. In this way, we present a new ‎mixed ‎Multi-Objective Linear Semi-Infinite Programming (MOLSIP) model to solve the ‎main ‎problem, furthermore, as a practical case, we consider a fuzzy Data Envelopment ‎Analysis ‎‎(DEA) model which is a concern to‎ an evaluation of the performance of Decision-‎Making ‎Units (DMUs) in uncertainty environment, The new models show the advantage of ‎our ‎method over the previous ones in terms of certainty. Finally, numerical examples ‎are ‎included to illustrate the suggested solution procedure.‎
ISSN:2147-1762
2147-1762
DOI:10.35378/gujs.870702