DocumentCode
537722
Title
Intuitionistic Fuzzy Evaluation for Supply Chain Coordination Degree Based on TOPSIS
Author
Chen Dongdong
Author_Institution
Economic & Manage. Coll., Sichuan Agric. Univ., Yaan, China
Volume
1
fYear
2010
fDate
11-12 Nov. 2010
Firstpage
651
Lastpage
654
Abstract
This paper use the intuitionistic fuzzy value and intuitionistic fuzzy sets, based on the method of TOPSIS to select and determine the similarity function for intuitionistic fuzzy sets, and use the information entropy to calculate the weight, then use the distances from intuitionistic fuzzy sets to intuitionistic fuzzy positive ideal point (PIS) and negative ideal point (NIS), weighted and composted, finally, got the relative closeness for that need to evaluation program with the ideal point. The relative closeness is the coordination degree of enterprise node of supply chain.
Keywords
entropy; fuzzy set theory; supply chain management; TOPSIS method; fuzzy negative ideal point; fuzzy positive ideal point; information entropy; intuitionistic fuzzy sets; intuitionistic fuzzy value; supply chain coordination degree; supply chain enterprise node; TOPSIS; evaluation; information entropy; intuitionistic fuzzy sets; supply chain coordination degree;
fLanguage
English
Publisher
ieee
Conference_Titel
Optoelectronics and Image Processing (ICOIP), 2010 International Conference on
Conference_Location
Haiko
Print_ISBN
978-1-4244-8683-0
Type
conf
DOI
10.1109/ICOIP.2010.66
Filename
5663189
Link To Document