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

Year 2022, , 1062 - 1076, 01.09.2022

Hadi Zavieh , Hadi Nasserı , Chefi Trıkı

https://doi.org/10.35378/gujs.870702

Cited By: 3

Abstract

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.‎

Keywords

Fuzzy linear ‎programming, Multi-objective linear ‎programming‎ ‎, Linear semi-infinite ‎programming, Data envelopment ‎analysis‎

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