Improved fuzzy analytical hierarchy process for water pollution control project
Shujuan Wang
Abstract
Shujuan Wang
Abstract
Evaluation model of water pollution control project in region is constructed by using relation between fuzzy consistency matrix and its weights.There is a method that can work out the model by adopting real coding based accelerating genetic algorithm, and rank weights of evaluation index is gained, the comprehensive index value of water pollution control project can be obtained according to the comprehensive weights and standardization values of evaluation indexes, and then every project schemes can be evaluated.The research result shows that the model is simple and universal, there is wide application value in system engineering evaluation.
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Evaluation model of water pollution control project in region is constructed by using relation between fuzzy consistency matrix and its weights.There is a method that can work out the model by adopting real coding based accelerating genetic algorithm, and rank weights of evaluation index is gained, the comprehensive index value of water pollution control project can be obtained according to the comprehensive weights and standardization values of evaluation indexes, and then every project schemes can be evaluated.The research result shows that the model is simple and universal, there is wide application value in system engineering evaluation.
Key concepts: Standardization, Fuzzy logic, Rank (graph theory), Analytic hierarchy process, Consistency (knowledge bases), Computer science, Coding (social sciences), Operations research