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The impact of using new significant reference point with TOPSIS methods: study and application

The impact of using new significant reference point with TOPSIS methods: study and application In this paper, the impact of Pareto optimality concept on revised TOPSIS method is studied. In particular, we study theoretically the cases in which a preference relation changes when delimiting the choice of the best alternative(s) in an efficient restrictive area. In order to define the most reliable approach a comparative study is established. On this basis, an accurate new method called TOPSIS Nadir is introduced. Furthermore, an adaptation for interval data area is carried out in which we discuss some forms of normalisation. By following the same steps of the TOPSIS methods for group decision makers, we develop and compare two new procedures. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Information and Decision Sciences Inderscience Publishers

The impact of using new significant reference point with TOPSIS methods: study and application

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1756-7017
eISSN
1756-7025
DOI
10.1504/IJIDS.2019.101139
Publisher site
See Article on Publisher Site

Abstract

In this paper, the impact of Pareto optimality concept on revised TOPSIS method is studied. In particular, we study theoretically the cases in which a preference relation changes when delimiting the choice of the best alternative(s) in an efficient restrictive area. In order to define the most reliable approach a comparative study is established. On this basis, an accurate new method called TOPSIS Nadir is introduced. Furthermore, an adaptation for interval data area is carried out in which we discuss some forms of normalisation. By following the same steps of the TOPSIS methods for group decision makers, we develop and compare two new procedures.

Journal

International Journal of Information and Decision SciencesInderscience Publishers

Published: Jan 1, 2019

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