RULES: A simple rule extraction system

摘要

We present R ULES, a simple inductive learning algorithm for extracting IF-THEN rules from a set of training examples. We also describe the application of RULES to a range of problems, each involving a different number of attributes, values, and classes. The results obtained demonstrate that in spite of its simplicity RULES is at least comparable to other inductive learning algorithms, if not more accurate and more general.