Integrating Fuzzy C-Means and TOPSIS for performance evaluation: An application and comparative analysis
作者：
Highlights：
• FCM and TOPSIS are introduced as an integrated multiple criteria decision analysis methodology.
• The methodology is used to analyze balanced scorecard, real data on the performance of corporations.
• The result shows that e-commerce corporate resiliency is best predicted with non-financial data.
• Validation of this methodology is completed by comparing to a latent cluster ranking technique.
摘要
•FCM and TOPSIS are introduced as an integrated multiple criteria decision analysis methodology.•The methodology is used to analyze balanced scorecard, real data on the performance of corporations.•The result shows that e-commerce corporate resiliency is best predicted with non-financial data.•Validation of this methodology is completed by comparing to a latent cluster ranking technique.
论文关键词：Performance evaluation,Fuzzy C-Means,TOPSIS
论文评审过程：Available online 2 January 2014.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.12.037
