A revised weighted sum decision model for robot selection

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...

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Bibliographic Details
Published in:Computers & industrial engineering 1996-04, Vol.30 (2), p.193-199
Main Authors: Goh, Chon-Huat, Tung, Yung-Chin Alex, Cheng, Chun-Hung
Format: Article
Language:English
Subjects:
Applied sciences
Computer science
control theory
systems
Control theory. Systems
Exact sciences and technology
Mathematical models
Operations research
Robotics
Robots
Statistical analysis
Studies
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Summary: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.
ISSN:0360-8352
1879-0550
DOI:10.1016/0360-8352(95)00167-0