Title :
Supplier Selection model based on distance measure between intuitionistic fuzzy sets
Author :
Song, Yuantao ; Zhang, Qiang ; Zhou, Xiaoguang
Author_Institution :
Beijing Inst. of Technol., Beijing
Abstract :
Supplier selection is very important in SCM (supply chain management). Companies have to select one or more suppliers they needed. There are many methods about supplier selection. The data type in these methods is either accurate or random or common fuzzy set. More and more suppliers being selected, so it is hard for a company to get accurate data. Fuzzy set data is a kind of data can be gotten more easily. If the data is common fuzzy set, there are some methods to be used. Sometimes, the data is a kind of special fuzzy sets, which is called Intuitionistic fuzzy sets (IFSs). IFSs was presented by Atanassov. In this paper, we introduce the definition of IFSs, and present a supplier selection model that is based on distance measure between IFSs theory. Finally, an example is given.
Keywords :
fuzzy set theory; supply chain management; SCM; common fuzzy set; distance measure; intuitionistic fuzzy sets; supplier selection model; supply chain management; Conference management; Costs; Cybernetics; Fuzzy sets; Globalization; Pattern recognition; Profitability; Supply chain management; Technology management;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.384721