Genetic algorithm optimised Hadamard product method for inconsistency judgement matrix adjustment in AHP and automatic analysis system development

• DOI: 10.1016/j.eswa.2022.118689
• Publication Date: 2022-08-27T22:50:18Z
• Authors: Rui Zhang; Chengcheng Gao; Xicheng Chen; Fang Li; Dong Yi; Yazhou Wu
• Keywords: Judgement; Matrix (chemical analysis)

The analytic hierarchy process (AHP) is an important method to solve the multi-objective decision-making weight problem. However, due subjective judgement and selection preference of decision-makers, consistency matrix inevitably poor. Hence, improve reliability results, it necessary adjust matrix. We propose a genetic algorithm optimised Hadamard product (GAOHP) judge This converts original adjustment problem into optimisation solution uses meta-heuristic search global quickly. Our method, which significantly improves computing efficiency realises that after satisfies basic consistency, has fully retained intention decision-makers. It offers dual advantages preserving decision-makers greater operation. Finally, we developed automatic analysis system based on MATLAB app designer realise rapid matrix, conducive providing with simple stable operation for AHP analysis.