A combination approach for obtaining the minimize disparity OWA operator weights

被引:2
|
作者
Gong, Yanbing [1 ]
机构
[1] Hohai Univ, Sch Business, Changzhou 213022, Jiangsu, Peoples R China
关键词
OWA operator; Weights disparity; Linear programming; Quadratic programming model; MULTICRITERIA DECISION-MAKING; AGGREGATION; ENTROPY;
D O I
10.1007/s10700-011-9107-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One of the key issues in the theory of ordered weighted averaging operator is the determination of OWA operator weights. In this paper, a simple combination approach for obtaining minimal disparity OWA operator weights is proposed. The proposed approach generates the OWA operator weights by minimizing the combination disparity between any two adjacent weights and its expectation. This involves the formulation and solution of a linear programming model and a quadratic programming model for a given degree of orness. A numerical example demonstrated simpleness and effectiveness of the methods proposed in this paper.
引用
收藏
页码:311 / 321
页数:11
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