Entropy Based Multi-criteria Decision Making Method under Fuzzy Environment and Unknown Attribute Weights
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TL;DR
F fuzzy set theory has been used during the analysis and representation each attribute in the form of triangular fuzzy numbers, used for aggregating the decision maker’s preferences, are found by using an entropy function.
Abstract
The main purpose of this paper is to investigate the multi-criteria decision making (MCDM) under the completely unknown attributes weights. As the information collected from the various resources related to different criteria for assessing the best alternatives is always imprecise in nature. Thus, to handle the impreciseness in the data, fuzzy set theory has been used during the analysis and representation each attribute in the form of triangular fuzzy numbers. Moreover, the attribute weight vectors, used for aggregating the decision maker’s preferences, are found by using an entropy function. Finally, a house selection example, has been taken for demonstrating the approach.