Document Type

Article

Publication Date

Spring 2011

Publication Title

Expert Systems with Applications

Volume

38

Issue

5

First Page

5205

Keywords

Multiple criteria decision analysis, TOPSIS, OWA, Distance-based ranking, Decision aggregation

Last Page

5211

Abstract

A hybrid approach integrating OWA (Ordered Weighted Averaging) aggregation into TOPSIS (technique for order performance by similarity to ideal solution) is proposed to tackle multiple criteria decision analysis (MCDA) problems. First, the setting of extreme points (ideal and anti-ideal points) in TOPSIS is redefined and extended for handling the multiple extreme points situation where a decision maker (DM) or multiple DMs can provide more than one pair of extreme points. Next, three different aggregation schemes are designed to integrate OWA into the TOPSIS analysis procedure. A numerical example is provided to demonstrate the proposed approach and the results are compared for different aggregation settings and confirm the robustness of rankings from different scenarios.

DOI

10.1016/j.eswa.2010.10.039

Comments

NOTICE: this is the author’s version of a work that was accepted for publication in Expert Systems with Applications. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Expert Systems with Applications, 38, 5, (2011) http://dx.doi.org/10.1016/j.eswa.2010.10.039.

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