Improved Fuzzification Method for Multi-Objective Decision-Making and Its Application in Evaluation of Highway Planning  

Improved Fuzzification Method for Multi-Objective Decision-Making and Its Application in Evaluation of Highway Planning

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作  者:雷秀娟 史忠科 

机构地区:[1]Department of Automatic Control,Northwestern Polytechnical University

出  处:《Journal of Southwest Jiaotong University(English Edition)》2003年第2期198-202,共5页西南交通大学学报(英文版)

基  金:SupportedbytheNationalNaturalScienceFoundationofChina (No .60 1 340 1 0 )

摘  要:A new fuzzification method for multi-objective decision-making and selective sorting is proposed on the basis of the fuzzy consistent relation, and the specific algorithm is presented. The method is applied to the evaluation of highway planning of Zhanjiang city. To decrease the subjectivity in the process of decision-making, the LOWA operator is introduced, and a discussion on how to select appropriate weights involved in multi-objective sorting is made. It is concluded that it is feasible to apply the fuzzy consistent relation to multi-objective decision-making analysis, and the improved fuzzication method is workable.A new fuzzification method for multi-objective decision-making and selective sorting is proposed on the basis of the fuzzy consistent relation, and the specific algorithm is presented. The method is applied to the evaluation of highway planning of Zhanjiang city. To decrease the subjectivity in the process of decision-making, the LOWA operator is introduced, and a discussion on how to select appropriate weights involved in multi-objective sorting is made. It is concluded that it is feasible to apply the fuzzy consistent relation to multi-objective decision-making analysis, and the improved fuzzication method is workable.

关 键 词:multi-objective decision-making fuzzy consistent matrix LOWA operator EVALUATION highway planning 

分 类 号:TP399[自动化与计算机技术—计算机应用技术]

 

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