Knowledge-Based Decision Support System for Loan of Bank

• Main Authors: Shao-Ming Hung, 洪紹銘
• Other Authors: Wei-Kang Wang
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/01031400077779472889

碩士 === 元智大學 === 會計學系 === 93 === In recent years, the business in Taiwan has become more and more competitive. How to improve the quality of loan, to strengthen the operating performance and financial structure have become important lessons for banking due to corporations grow and decline rapidly and environment is more competitive. This paper describes an intelligent decision support system for loan of enterprises in bank using Logit model. We propose an integration framework for decision support system, including the database management subsystem, the model base subsystem, the knowledge acquisition subsystem, and the dialogue subsystem. The main purpose of this thesis is to set up a system of examining enterprises loan. This research takes samples from cases of consumer loans in X bank from January 2004 to December 2004. In order to form a model, there are 245 cases of normal loans and 125 cases of overdue loans respectively. Logistic-Regression is used as the research method of this research. This study is useful for banks to determine loan policies.