Genetic algorithm optimised Hadamard product method for inconsistency judgement matrix adjustment in AHP and automatic analysis system development
作者：
Highlights：
• We propose a new consistency adjustment method of AHP judgement matrix.
• This is named genetic algorithm optimised Hadamard product (GAOHP).
• It helps avoid excessive correction and retains the original matrix information.
• This is a feasible solution for the optimisation problem at an acceptable cost.
• Newly developed analysis software system set is effective for AHP analysis.
摘要
•We propose a new consistency adjustment method of AHP judgement matrix.•This is named genetic algorithm optimised Hadamard product (GAOHP).•It helps avoid excessive correction and retains the original matrix information.•This is a feasible solution for the optimisation problem at an acceptable cost.•Newly developed analysis software system set is effective for AHP analysis.
论文关键词：Decision support systems,Analytic hierarchy process,Genetic algorithms,Judgement matrix,Consistency adjustment
论文评审过程：Received 23 January 2022, Revised 23 August 2022, Accepted 23 August 2022, Available online 28 August 2022, Version of Record 31 August 2022.
论文官网地址：https://doi.org/10.1016/j.eswa.2022.118689
