Linear inequalities and the analysis of multi-attribute value matrices

被引：0
|
作者：
Barron, FH [1 ]
Barrett, BE [1 ]
机构：
[1] Univ Alabama, Tuscaloosa, AL 35487 USA
来源：
DECISION SCIENCE AND TECHNOLOGY: REFLECTIONS ON THE CONTRIBUTIONS OF WARD EDWARDS | 1999年
关键词：
D O I：
暂无
中图分类号：
O1 [数学]; C [社会科学总论];
学科分类号：
03 ; 0303 ; 0701 ; 070101 ;
摘要：
Barren and Barrett, 1996(b) demonstrate empirically that a surrogate weight vector, rank order centroid (ROC) weights, based only on ranked swing weights, is surprisingly efficacious in general in selecting a best multi-attribute alternative. An Excel-based simulation, EMAR, allows one to assess the applicability of the general result to any particular value matrix. In this paper we extend EMAR to partial information sets of weights other than a strict ranking. We also apply these procedures to examine the effect of reducing the number of attributes.
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页码：211 / 225
页数：7
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