The Advances in Science and Technology Research Journal (according to the MEiN list of 100 pts.) published a paper by our staff members Pawel Kuras, M.Sc. and Alicja Gerka, M.Sc:
Using Inconsistency Reduction Algorithms in Comparison Matrices to Improve the Performance of Generating Random Comparison Matrices with a Given Inconsistency Coefficient Range.
The publication is available at:
The purpose of this article is to present a new method for generating random pairwise comparison matrices with a given inconsistency coefficient (CR) range using inconsistency reduction algorithms. Pairwise comparison (PC) is a popular multi-criteria decision-making technique that aims to assign weights to the entities being compared, thereby ranking them from best to worst.
The research also resulted in the release of a free online tool, "PC MATRICES, GENERATOR" which enables the efficient generation of a large number of comparison matrices with a preset CR factor range, any matrix size, and any number of matrices, allowing for much more efficient and less time-consuming research in many fields using comparison matrices, such as analytical hierarchical/networking process (AHP/ANP), ELECTREE, PAPRIKA, PROMETHE, VIKOR, or the Best-Worst Method (BWM).
The tool is available at: https://reduce.prz.edu.pl/pc_matrices_generator
