A fuzzy multi-criteria decision-making approach for robot selection

Published on Aug 1, 1993in Robotics and Computer-integrated Manufacturing5.057
· DOI :10.1016/0736-5845(93)90040-Q
Gin-Shuh Liang24
Estimated H-index: 24
(NTHU: National Tsing Hua University),
Mao-Jiun J. Wang43
Estimated H-index: 43
(NTHU: National Tsing Hua University)
Abstract From combing the concepts of fuzzy set theory and hierarchical structure analysis, a robot selection algorithm is proposed. It is used to aggregate decision-makers' fuzzy assessments about criteria weightings and the suitability ratings of a robot vs various selection criteria to obtain fuzzy suitability indices. The suitability ratings are then ranked to select the most suitable robot. By utilizing this decision algorithm, the decision-makers' fuzzy assessments with various rating attitudes and the trade-off between various selection criteria can be taken into account in the aggregation process to ensure more convincing and accurate decision-making.
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