Title :
Intuitionistic Fuzzy Group Decision Making for Supply Chain Information Collaboration Partner Selection
Author :
Wen, Lei ; Zhang, Xiaojuan
Author_Institution :
Dept. of Econ. & Manage., North China Electr. Power Univ., Baoding, China
Abstract :
In supply chain management process, information Collaboration is thus recognized as a basic process that holds the value creation opportunity which can drive effective supply chain management Thus, Information collaboration partner selection is an important issue and with the multiple criteria decision making approach. This paper is aimed to present an Intuitionistic Fuzzy set group decision-making methods to solve this problem. The opinion of experts and the weight of each criteria are all expressed with Intuitionistic Fuzzy set. We set up the index of Information collaboration partner selection and calculated with a example to identify the efficiency of this methods.
Keywords :
decision making; fuzzy set theory; supply chain management; group decision making; information collaboration partner selection; intuitionistic fuzzy set; supply chain information collaboration; supply chain management process; value creation opportunity; Collaboration; Decision making; Fuzzy set theory; Pragmatics; Silicon; Supply chain management; Supply chains; information Collaboration; partner selection; supply chain;
Conference_Titel :
Information Science and Management Engineering (ISME), 2010 International Conference of
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-7669-5
Electronic_ISBN :
978-1-4244-7670-1
DOI :
10.1109/ISME.2010.258