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Minimizing Inconsistency in Pairwise Comparison...
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Minimizing Inconsistency in Pairwise Comparison Matrices Using Genetic Algorithm

Abstract

This paper introduces a novel approach to reduce inconsistencies in pairwise comparison matrices using a genetic algorithm inspired by the process of natural selection. The method applies a distance-based inconsistency index as the fitness function within an evolutionary process. Through experiments, we show that our genetic algorithm greatly reduces inconsistencies over generations. Smaller matrices quickly become consistent in just a few generations, showing the method’s effectiveness and efficiency for different scenarios and use cases. Larger matrices, however, require more generations to reach the acceptable consistency level. The algorithm works well for different matrix sizes, adapting effectively to various challenging situations.

Authors

Sayadi A; Shajari B; Janicki R

Volume

00

Pagination

pp. 1-6

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

March 21, 2025

DOI

10.1109/ciss64860.2025.10944754

Name of conference

2025 59th Annual Conference on Information Sciences and Systems (CISS)
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