Journal of Guangxi Normal University(Natural Science Edition) ›› 2011, Vol. 29 ›› Issue (3): 101-104.

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Fuzzy Clustering Analysis of Customer Credit Risk of Futures Company

SHEN Ze-hao, YE Zhong-xing   

  1. Department of Mathematics,Shanghai Jiao Tong University,Shanghai 200240,China
  • Received:2011-05-01 Online:2011-08-20 Published:2018-12-03

Abstract: Improved fuzzy clustering and k-means clustering algorithms are applied and compared to analyze customers' credit risk of Futures Companies.The final classification system plays a pivotal role in risk management,development and progress of Futures Companies.These methods provide scientific basis for futures companies to control risks.

Key words: futures, customer classification, fuzzy clustering, K-meansclustering

CLC Number: 

  • O235
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