Hybrid Algorithm for Rough Multi-level Multi-objective Decision Making Problems
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Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Type
Article
Publisher
International Information and Engineering Technology Association
Series Info
Ingenierie des Systemes d'Information
24
24
Scientific Journal Rankings
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.
Description
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