TITLE:
An Improved Fuzzy ISODATA Algorithm for Credit Risk Assessment of the EIT Enterprises
AUTHORS:
Zongfang Zhou
KEYWORDS:
EIT Enterprise; Credit Risk; Reference Sample; ISODATA Algorithm; Fuzzy Clustering
JOURNAL NAME:
Modern Economy,
Vol.3 No.5,
September
29,
2012
ABSTRACT: We proposed an improved fuzzy ISODATA algorithm for credit risk assessment of the emerging information technol-ogy enterprise in this paper. Firstly, as the uncertainty of the EIT enterprise is relatively large, we set a reference sample and an initial clustering center matrix so that we overcame the shortcomings of traditional ISODATA algorithm and improved the reliability of fuzzy clustering analysis. Secondly, we proposed the steps of evaluating the EIT enterprises’ credit risk with improved fuzzy ISODATA algorithm. Last but not least, we assessed 10 EIT enterprises’ credit risk of a certain city, which proved the effectiveness and operability.