Parametric aggregation in ordered weighted averaging

被引:22
|
作者
Amin, Gholam R. [1 ]
Emrouznejad, Ali [2 ]
机构
[1] Sultan Qaboos Univ, Coll Commerce & Econ, Dept Operat Management & Business Stat, Muscat, Oman
[2] Aston Univ, Aston Business Sch, Operat & Informat Management Grp, Birmingham B4 7ET, W Midlands, England
关键词
Ordered weighted averaging; Minimax disparity; Alternative optimal solutions; Feasible direction; Parametric aggregation; Metasearch engine; OWA OPERATOR WEIGHTS;
D O I
10.1016/j.ijar.2011.02.004
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Incorporating further information into the ordered weighted averaging (OWA) operator weights is investigated in this paper. We first prove that for a constant orness the minimax disparity model [13] has unique optimal solution while the modified minimax disparity model [16] has alternative optimal OWA weights. Multiple optimal solutions in modified minimax disparity model provide us opportunity to define a parametric aggregation OWA which gives flexibility to decision makers in the process of aggregation and selecting the best alternative. Finally, the usefulness of the proposed parametric aggregation method is illustrated with an application in metasearch engine. (C) 2011 Elsevier Inc. All rights reserved.
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页码:819 / 827
页数:9
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