Reduced Multiplicative Tolerance Ranking and Applications

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Author(s)

Sebastian Sitarz 1,*

1. Institute of Mathematics, University of Silesia, Katowice, Poland

* Corresponding author.

DOI: https://doi.org/10.5815/ijisa.2013.03.05

Received: 1 Apr. 2012 / Revised: 26 Aug. 2012 / Accepted: 19 Nov. 2012 / Published: 8 Feb. 2013

Index Terms

Multi-Criteria Analysis, Sensitivity Analysis, Multi-Objective Linear Programming, Decision Making

Abstract

In this paper a reduced multiplicative tolerance - a measure of sensitivity analysis in multi-objective linear programming (MOLP) is presented. By using this new measure a method for ranking the set of efficient extreme solutions is proposed. The idea is to rank these solutions by values of the reduced tolerance. This approach can be applied to many MOLP problems, where sensitivity analysis is important for a decision maker. In the paper, applications of the presented methodology are shown in the market model and the transportation problem.

Cite This Paper

Sebastian Sitarz, "Reduced Multiplicative Tolerance Ranking and Applications", International Journal of Intelligent Systems and Applications(IJISA), vol.5, no.3, pp.50-57, 2013. DOI:10.5815/ijisa.2013.03.05

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