NDLI: A dynamic fuzzy multi-attribute group decision making method for supplier evaluation and selection

Content Provider	IEEE Xplore Digital Library
Author	Ruirui Bai Fanzhang Li Jiwen Yang
Copyright Year	2014
Description	Author affiliation: Coll. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China (Ruirui Bai; Fanzhang Li; Jiwen Yang)
Abstract	There are two key activities for an effective supply chain, one of which is the supplier evaluation and the other one is the supplier selection. In this paper, focusing on the dynamic fuzzy problems involved in the process of the supplier evaluation and selection, we proposed a dynamic fuzzy multi-attribute group decision making new method. Specifically, we would fully describe the decision-making information by employing dynamic fuzzy evaluation matrix, and get the best supplier by utilizing the ordered entropy weights. Experimental results on a practical supplier case show that the new model proposed here can not only effectively solve the problems of supplier evaluation and selection but also work better than the TOPSIS method.
Starting Page	3249
Ending Page	3256
File Size	201382
Page Count	8
File Format	PDF
ISBN	9781479937073
e-ISBN	9781479937080
DOI	10.1109/CCDC.2014.6852735
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-31
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy logic dynamic fuzzy logic Decision making Supply chains supplier evaluation and selection supply chain management multi-attribute group decision making Market research Educational institutions Entropy Pragmatics
Content Type	Text
Resource Type	Article

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