A revised weighted sum decision model for robot selection

被引:111
作者
Goh, CH
Tung, YCA
Cheng, CH
机构
[1] UNIV CONNECTICUT,SCH BUSINESS ADM,DEPT OPERAT & INFORMAT MANAGEMENT,STORRS,CT 06269
[2] CHINESE UNIV HONG KONG,DEPT SYST ENGN & ENGN MANAGEMENT,SHA TIN,HONG KONG
关键词
D O I
10.1016/0360-8352(95)00167-0
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
We present a revised weighted sum model that incorporates the values assigned by a group of experts on different factors in selecting robots. The model reduces the impact of any decision maker, with a vastly different opinion, on the overall decision. Using this model, the highest and lowest experts' values on the weights and the subjective factors are eliminated in this comprehensive method for robot selection. A numerical example is presented to illustrate the model and to show a rank reversal when compared to a model that does not eliminate extreme values.
引用
收藏
页码:193 / 199
页数:7
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