A Decomposition Algorithm for Solving a Special Type of Two-Level Integer Linear Multiple Objectives Decision Making Problems Using TOPSIS

Research Area: Volume 4 Issue 2, March. 2015 Year: 2015
Type of Publication: Article Keywords: Two Level Integer Multiple Objectives Decision Making Problems, TOPSIS, Decomposition Techniques, Fuzzy Sets
Authors:
  • Tarek H. M. Abou-El-Enien
Journal: IJEIR Volume: 4
Number: 2 Pages: 282-293
Month: March
ISSN: 2277-5668
Abstract:
This paper extended TOPSIS (Technique for Order Preference by Similarity Ideal Solution) for solving a special type of Two-Level Integer Linear Multiple Objectives Decision Making (ST-TL-IL MODM) Problems with block angular structure. In order to obtain a compromise ( satisfactory) integer solution to the ST-TL-ILMODM problems with block angular structure using the proposed TOPSIS approach, a modified formulas for the distance function from the positive ideal solution (PIS ) and the distance function from the negative ideal solution (NIS) are proposed and modeled to include all the objective functions of the two levels. In every level, as the measure of “Closeness” dp-metric is used, a k-dimensional objective space is reduced to two –dimentional objective space by a first-order compromise procedure. The membership functions of fuzzy set theory is used to represent the satisfaction level for both criteria. A single-objective programming problem is obtained by using the max-min operator for the second –order compromise operation. A decomposition algorithm for generating a compromise ( satisfactory) integer solution through TOPSIS approach is provided where the first level decision maker (FLDM) is asked to specify the relative importance of the objectives. Finally, an illustrative numerical example is given to clarify the main results developed in the paper.

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