1988
DOI: 10.1287/mnsc.34.12.1403
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Inducing Rules for Expert System Development: An Example Using Default and Bankruptcy Data

Abstract: With rapidly growing interest in the development of knowledge-based computer consulting systems for various problem domains, the difficulties associated with knowledge acquisition have special importance. This paper reports on the results of experiments designed to assess the effectiveness of an inductive algorithm in discovering predictive knowledge structures in financial data. The quality of the results are evaluated by comparing them to results generated by discriminant analysis, individual judgments, and … Show more

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Cited by 236 publications
(103 citation statements)
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“…It becomes an expert decision-making tool, or provides professional advice for non professional decision makers.Explanation function, flexibility and learning function are the three main functions of expert system. Foreign research scholars Messier and Hansen(1988) [3]broken the limitations of the direct method, and put forward a heuristic way of acquiring knowledge. And they from the angle of knowledge acquisition studied the application of expert system in the field of credit risk analysis.…”
Section: Expert Systemmentioning
confidence: 99%
“…It becomes an expert decision-making tool, or provides professional advice for non professional decision makers.Explanation function, flexibility and learning function are the three main functions of expert system. Foreign research scholars Messier and Hansen(1988) [3]broken the limitations of the direct method, and put forward a heuristic way of acquiring knowledge. And they from the angle of knowledge acquisition studied the application of expert system in the field of credit risk analysis.…”
Section: Expert Systemmentioning
confidence: 99%
“…그 뒤로, 사례기반추론, 귀납적 학습, 인공 신경망 등과 같은 인공지능 기법들이 부도 예측 문제에 적용 되기 시작하였다 (Buta, 1994;Messier and Hansen, 1998;Tam and Kiang, 1992;Zhang et al, 1999). -Partition Data Set: T1, T2, V -Define the chromosome -Determine parameters of GA 2.…”
Section: 서론unclassified
“…Portioning, while Gupta et al [20] use mathematical programming as an alternative to multivariate discriminate analysis for system failure prediction problem. Other methods used were survival analysis by Luoma, Laitinenl [21] which is a tool for company failure prediction, expert systems by Messier and Hansen [22] , neural network by Altman.…”
Section: Introductionmentioning
confidence: 99%