A New Method for Deriving Weights in Group Fuzzy Analytic Hierarchy Process and Evaluation Measures
Lin Che, Yeming Zhang, Jingcheng Wang, Miaoshun Bai
Abstract
The paper discusses fuzzy comparison matrices, consistency check, weight prioritization methods and weight evaluation methods in fuzzy group analytic hierarchy process. There are various methods of weight prioritization, however, they are not critically evaluated. In the paper, two measures are introduced for the evaluation of the group weights. Then, a new method is proposed to improve the process of deriving weights and use it in an application compared to another common three methods. Our results show that the new method is a good method for deriving weights of indexes.
Topics & Concepts
Analytic hierarchy processConsistency (knowledge bases)PrioritizationFuzzy logicGroup (periodic table)MathematicsProcess (computing)HierarchyData miningComputer scienceArtificial intelligenceOperations researchManagement scienceEngineeringMarket economyEconomicsChemistryOrganic chemistryOperating systemEvaluation Methods in Various FieldsEvaluation and Optimization ModelsAdvanced Decision-Making Techniques