Designing an expert system for commercial loan decisions | |
| Author | Huynh Ngoc Lieu |
| Call Number | AIT RSPR no. SM-96-69 |
| Subject(s) | Commercial loans Expert systems (Computer science) |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Business Administration. |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. SM-96-69 |
| Abstract | The primary job of a loan officer is to decide on the conditions of a loan. To do this, the loan officer has to track the applicant's credit history as well as check previous and current financial status. The nature of the task is repetitive, yet unstructured. To improve the throughput and accuracy of loans granted and to insure greater consistency of loan review, several credit analysis expert system have been developed. This study gives the design of an expert system for commercial loan decisions. It can help loan officers to reduce the time devoted to the analysis in evaluating loan applicants and to improve the quality of the evaluation. The domain of credit analysis application covered by this study is to analize commercial loans for industrial or retail borrowers, and it will work for loans of any size. |
| Year | 1996 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. SM-96-69 |
| Type | Research Study Project Report (RSPR) |
| School | School of Management (SOM) |
| Department | Other Field of Studies (No Department) |
| Academic Program/FoS | Master of Business Administration (MBA) (Publication code=SM) |
| Chairperson(s) | Gupta, Jyoti P. |
| Examination Committee(s) | Khang, Do Ba;Sadananda, R. |
| Scholarship Donor(s) | Government of Switzerland |
| Degree | Research Studies Project Report (M.B.A.) - Asian Institute of Technology, 1996 |