Title :
Optimal Vendor Selection Using Fuzzy Case Based Reasoning
Author :
Na, Feng ; Jinmin, Wang ; Ping, Liu ; Suchang, Ma
Author_Institution :
Tianjin Key Lab. of High Speed Cutting & Accurate Process Technol., Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
Vendor selection is the most important decision making process in supply chain management. To improve the vendor selection efficiency, a two level vendor selection model is proposed through case-based reasoning method. Fuzzy sets theory application is the fundamental to realize the vendor retrieval with fuzzy description of selection criteria and fuzzy similarity analysis. The optimal vendor solution is finalized using AHP after the vendor retrieval.
Keywords :
case-based reasoning; decision making; fuzzy reasoning; fuzzy set theory; information retrieval; supply chain management; AHP; decision making process; fuzzy case based reasoning; fuzzy description; fuzzy sets theory application; fuzzy similarity analysis; optimal vendor selection; supply chain management; vendor retrieval; Cognition; Decision making; Fuzzy sets; Materials; Mathematical model; Supply chain management; Supply chains; AHP; Vendor selection; case based reasoning; fuzzy membership; similarity analysis;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
Conference_Location :
Shenzhen, Guangdong
Print_ISBN :
978-1-61284-289-9
DOI :
10.1109/ICICTA.2011.272
