DocumentCode
2911145
Title
Research on Supplier Selection Based on Fuzzy Sets Group Decision
Author
Guozheng Zhang
Author_Institution
Postdoctoral Res. Station of Manage. Sci. & Eng., Central South Univ., Changsha, China
Volume
2
fYear
2009
fDate
12-14 Dec. 2009
Firstpage
529
Lastpage
531
Abstract
In practice, in purchasing decision-making, many quantitative and qualitative factors, with vagueness and imprecision, have to be considered. This makes the decision process very complicated and unstructured. Fuzzy sets theory is one of the methods used to deal with uncertain information. In this paper, a new approach based on fuzzy sets group decision is proposed to deal with the supplier selection problem in supply chain systems. The work procedure is shown briefly, as follows: First, linguistic values are used to assess the ratings and weights for quantitative or qualitative factors. Second, degree of similarity and probability of fuzzy sets are used to determine the ranking order of all alternatives. Finally, a numerical example of the selection problem of suppliers is shown, to highlight the procedure of the proposed approach, at the end of this paper.
Keywords
decision making; fuzzy set theory; game theory; supply chain management; fuzzy sets group decision; fuzzy sets probability; fuzzy sets theory; purchasing decision-making; supplier selection problem; supply chain systems; uncertain information; Companies; Computational intelligence; Costs; Decision making; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Quality management; Supply chains; Fuzzy Set; Group Decision; Supplier Selection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location
Changsha
Print_ISBN
978-0-7695-3865-5
Type
conf
DOI
10.1109/ISCID.2009.278
Filename
5369067
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