A Fuzzy TOPSIS Method for Robot Selection
Volume: 21, Issue: 4, Pages: 284 - 290
Published: Feb 1, 2003
Abstract
A fuzzy TOPSIS method for robot selection is proposed, where the ratings of various alternatives versus various subjective criteria and the weights of all criteria are assessed in linguistic terms represented by fuzzy numbers. The values of objective criteria are converted into dimensionless indices to ensure compatibility between the values of objective criteria and the linguistic ratings of subjective criteria. The membership function of each...
Paper Details
Title
A Fuzzy TOPSIS Method for Robot Selection
Published Date
Feb 1, 2003
Volume
21
Issue
4
Pages
284 - 290
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