Title
A Fuzzy Principal Component Analysis Approach to Hierarchical Evaluation Model for Balanced Supply Chain Scorecard Grading.
Abstract
Effective performance management is critical to efficient supply chain management systems with the balanced scorecard as well as to effective evaluation models and their algorithms. Problems often encountered in the modeling of the balanced scorecard for supply chain are how to overcome the multicollinearity in its index system. In this paper, a new fuzzy hierarchical evaluation model featuring the criteria of the balanced supply chain scorecard is proposed and analyzed on the basis of data about Chinese firms. The model, based on the fuzzy weight's matrix derived from a fuzzy principal component analysis, overcomes the multicollinearity in the index system of the balanced supply chain scorecard. This method proves good performance in determining the weight distribution matrix of the fuzzy hierarchical evaluation and improves the evaluation accuracy and generalization as shown for a group of firms in western China. © 2013 Springer Science+Business Media New York.
Year
DOI
Venue
2013
10.1007/s10957-013-0337-1
J. Optimization Theory and Applications
Keywords
Field
DocType
Fuzzy principal component analysis,Fuzzy hierarchical evaluation model,Multicollinearity,Performance management,Balance scorecard
Mathematical optimization,Fuzzy logic,Multicollinearity,Supply chain management,Balanced scorecard,Supply chain,Weight distribution,Performance management,Principal component analysis,Mathematics
Journal
Volume
Issue
ISSN
159
2
15732878
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Sidong Xian17513.09
Dong Qiu2696.38
Shiyun Zhang371.48