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

Volume

1

fYear

2011

fDate

28-29 March 2011

Firstpage

1082

Lastpage

1084

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on

Conference_Location

Shenzhen, Guangdong

Print_ISBN

978-1-61284-289-9

Type

conf

DOI

10.1109/ICICTA.2011.272

Filename

5750788