WSEAS Transactions on Mathematics
Print ISSN: 1109-2769, E-ISSN: 2224-2880
Volume 23, 2024
Generating a Set of Consistent Pairwise Comparison Test Matrices in AHP using Particle Swarm Optimization
Authors: , ,
Abstract: Pairwise Comparison Matrix (PCM) play a crucial role in multi-criteria decision-making, especially
within the framework of the Analytic Hierarchy Process (AHP). It is essential for an expert to systematically
assess and compare alternatives, considering various criteria as part of the decision-making process. The AHP
relies on consistency to ensure the accuracy of pairwise comparisons made by decision makers, increasing the
overall integrity of the decision-making process. The aim of this paper is to present an approach based on Particle
Swarm Optimization (PSO) as a metaheuristic method to generate a set of consistent pairwise comparison matrices.
Numerical results are presented with different sizes of matrices showing the effectiveness of our algorithm
in producing acceptable matrices for the benefit of expets.
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Keywords: Pairwise Matrix, Analytic Hierarchy Process, Decision Theory, Consistency, Metaheuristics,
Particle Swarm Optimizition
Pages: 206-215
DOI: 10.37394/23206.2024.23.24