Abstract
This paper describes the inductive learning methods for generating decision rules in decision support systems. Three similarity-based learning systems are studied based on: (1) the AQ-Star method, (2) the Tree-Induction method, and (3) the Probabilistic Learning method. Loan evaluation examples and empirical data are used as a basis for comparing these inductive learning methods on their algorithmic characteristics and decision support performance.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 147-165 |
| Number of pages | 19 |
| Journal | Computer Science in Economics and Management |
| Volume | 3 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 1990 |
Keywords
- Inductive learning
- artificial intelligence
- commercial loan evaluation
- decision support systems
ASJC Scopus subject areas
- Economics, Econometrics and Finance (miscellaneous)
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