Evaluation of Fuzzy Rules Extracted from Data
Adam Schenker and Abraham Kandel. University of South Florida
Mark Last. Ben-Gurion University of the Negev
- Fuzzy Economic Review: Volume VI, Number 2. November 2001
- DOI: 10.25102/fer.2001.02.01
A general methodology for evaluation of fuzzy rules extracted from data is presented. Though the primary goal of most data mining systems is high classification or prediction accuracy, the user may be interested in rules which are not necessarily the most accurate. Our approach provides an alternative measure of rule…Read more...