An interactive algorithm for large scale multiple objective programming problems with fuzzy parameters through TOPSIS approach

Authors

  • Mahmoud A. Abo-Sinna Department of Statistics, Faculty of Science, King Abdul Aaziz University, Jeddah, Saudi Arabia
  • Tarek H.M. Abou-El-Enien Department of Operations Research & Decision Support, Faculty of Computers & Information, Cairo University, Giza, Egypt

DOI:

https://doi.org/10.2298/YJOR1102253A

Keywords:

Interactive decision making, multiple objective programming problems, fuzzy parameters, TOPSIS, block angular structure

Abstract

This article has been retracted. Link to the retraction 10.2298/YJOR141008034U

In this paper, we extend TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving Large Scale Multiple Objective Programming problems involving fuzzy parameters. These fuzzy parameters are characterized as fuzzy numbers. For such problems, the α-Pareto optimality is introduced by extending the ordinary Pareto optimality on the basis of the α-Level sets of fuzzy numbers. An interactive fuzzy decision making algorithm for generating α-Pareto optimal solution through TOPSIS approach is provided, where a decision maker (DM) is asked to specify the degree α and the relative importance of objectives. Finally, a numerical example is given to clarify the main results developed in the paper.

Downloads

Published

2011-09-01

Issue

Section

Research Articles