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Decision-making Model for Multidimensional Analysis of Preference Based on Intuitionistic Trapezium Fuzzy Set

並列摘要


Decision-making model for multidimensional analysis of preference on trapezoid fuzzy number distant expected values are proposed. The group decision-making problem are solved when preference and attribute are given by trapezoid fuzzy number .Its algorithm is as follows: First, define a distortion function between subjective/objective analysis of preference under B-cut set to get weighted vector of the attribute through constructing a criterion-programming model. Second, congregate the weighted normalization fuzzy decision matrices of all the decision-makers under different B-cut sets to form a total weighted normalization fuzzy decision matrix. Finally, get relative closeness S of each alternative adjustment decision and then sort by size to determine the optimal program.

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