The BF-TOPSIS Approach for Solving Non-classical MCDM Problems.
Lecture Notes in Artificial Intelligence(2016)
摘要
In this paper we show how the Belief-Function based Technique for Order Preference by Similarity to Ideal Solution (BF-TOPSIS) approach can be used for solving non-classical multi-criteria decision-making (MCDM) problems. We give simple examples to illustrate our presentation.
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关键词
Multi-criteria decision-making,Belief functions,TOPSIS,BF-TOPSIS
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