Hybrid Algorithm for Rough Multi-level Multi-objective Decision Making Problems
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International Information and Engineering Technology Association
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Ingenierie des Systemes d'Information
24
24
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Abstract
The purpose of this paper is to generate compromise solutions for the multi-level multiobjective decision making (MLMODM) problems with rough parameters in the objective functions (RMLMODM) based on TOPSIS method and "Lower & Upper� approximations method. We introduce a computational hybrid algorithm for solving RMLMODM problems. Also, we solved illustrative numerical example and compared the solution of the proposed algorithm with the solution of Global Criterion (GC) method. The engineers and the scientists can apply the introduced hybrid algorithm to various practical RMLMODM problems to obtain numerical solutions. � 2019 Lavoisier. All rights reserved.
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Scopus
Keywords
Compromise programming, Global criterion method, Multi-level programming, Multi-objective programming, Rough programming, TOPSIS method, Decision making, Multiobjective optimization, Compromise programming, Global criterion method, Multilevel programming, Multiobjective programming, TOPSIS method, Numerical methods