Rank reversal on entropy-based weighting methods

Osman Pala

doi:10.17093/alphanumeric.1653266

Rank reversal on entropy-based weighting methods

Abstract

Entropy is an important criteria weighting measure used in decision making. There are different forms of entropy that are used to measure the inter criterion contrast intensity. In this study, we defined various entropy and diversity measures as criteria weighting approach in MCDM. We compared the approaches in terms of the rank reversal phenomenon by conducting a simulation study according to the framework we established. In addition, we compared these weighting approaches in terms of their dispersion characterization in an illustrative case. The Gini-Simpson index is the foremost index among these approaches, which is more persistent to rank reversal, less sensitive to distribution of domain and outputs more acceptable weightings.

Keywords

References

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Details

Primary Language

English

Subjects

Operations Research

Journal Section

Research Article

Authors

Osman Pala ^*
0000-0002-2634-2653
Türkiye

Publication Date

December 31, 2025

Submission Date

March 7, 2025

Acceptance Date

November 18, 2025

Published in Issue

Year 2025 Volume: 13 Number: 2

DOI

https://doi.org/10.17093/alphanumeric.1653266

IZ

https://izlik.org/JA73JW29LG

Cite

RIS / Bibtex

APA

Pala, O. (2025). Rank reversal on entropy-based weighting methods. Alphanumeric Journal, 13(2), 55-76. https://doi.org/10.17093/alphanumeric.1653266