Using genetic algorithm to improve consistency and retain authenticity in the analytic hierarchy process

DOI10.1007/s12597-020-00450-zOpenAlexW3033610289MaRDI QIDQ2656551

Amarnath Bose

Publication date: 11 March 2021

Published in: Opsearch (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s12597-020-00450-z

zbMATH Keywords

analytic hierarchy processconsistencygenetic algorithmPareto frontierpairwise comparison matrixauthenticitymulti objective optimization

Mathematics Subject Classification ID

Operations research and management science (90Bxx)

Uses Software

• SPEA2
• DEAP

Cites Work

• Unnamed Item
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• A new multiobjective simulated annealing algorithm
• Procedures for synthesizing ratio judgements
• Derivatives of the Perron root of a positive reciprocal matrix: with application to the analytic hierarchy process
• A consistency improving method in the analytic hierarchy process
• Repairing the inconsistent fuzzy preference matrix using multiobjective PSO
• Improving consistency in AHP decision-making processes
• Limits on the analytic hierarchy process from its consistency index
• Analytic hierarchy process: an overview of applications
• Pareto simulated annealing—a metaheuristic technique for multiple‐objective combinatorial optimization
• Practical Genetic Algorithms
• On the Measurement of Intangibles. A Principal Eigenvector Approach to Relative Measurement Derived from Paired Comparisons

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