Hybrid Algorithm for Rough Multi-level Multi-objective Decision Making Problems
Shereen Fathy El-Feky, Tarek Abou-El-Enien · Ingénierie des systèmes d information · 2019
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.