Paper Info
Title
Manufacturing Vendor Selection Based on Cross-Entropy Measure with Fuzzy VIKOR Method.
Abstract
Effective and accurate vendor selection decisions are important components for supply chain management in manufacturing factories to enhance their organizational performance. This study presented a novel performance evaluation method for tackling these group multiple criteria decision making (GMCDM) problems based on combining VIKOR method and cross-entropy measure under interval-valued fuzzy sets environment. On the other side, a new interval-valued intuitionistic fuzzy prioritized ordered weighted average operator is used to aggregate all decision matrices into a collective decision matrix. Finally, a case study of vendor selection for a manufacturing factory is given demonstrating the effectiveness of the proposed method and showing that it's more efficient and advantageous than existing TOPSIS method. © IFAC.
Year
DOI
Venue
2013
10.3182/20130619-3-RU-3018.00553
MIM
Keywords
Field
DocType
group multiple criteria decision making (gmcdm),cross-entropy,interval-valued intuitionistic fuzzy prioritized ordered weighted average (ivifpowa) operator,j-divergence,interval-valued intuitionistic fuzzy set (ivifs),vikor
Cross entropy,Mathematical optimization,Organizational performance,Decision matrix,VIKOR method,Fuzzy logic,Fuzzy set,Supply chain management,TOPSIS,Mathematics
Conference
Volume
Issue
ISSN
null
null
null
Citations 
PageRank 
References 
0
0.34
9
Authors
3
Name
Order
Citations
PageRank
Xinye Zhao100.34
Kedi Huang27911.95
Ge Li320.73