A Study of Enterpeise Credit Rating Systems Using Data Mining

• Main Authors: Han-Ci Chen, 陳罕圻
• Other Authors: Der-Jang Chi
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/05734119119187055168

碩士 === 中國文化大學 === 會計研究所 === 96 === Credit rating systems have existed for a long time in most financial markets and played a major role in corporate raising, providing investment information for both individual investors and institutional investor, and credit granting in banks. The listed electronic and information industry which have been receiving government subsidy and guidance and volume of trade near up 70% of stock market. Thus, how to evaluate credit rating correctly is a critical issue. The main objective of this study is to propose a classification model for the listed electronic and information industry based on artificial intelligence techniques such as support vector machines, rough set and artificial neural network. The results showed the superiority of the support vector machine over the rough set and neural network.