Association Rule And Decision Tree Based Methodsfor Fuzzy Rule Base Generation

Ferenc Peter Pach, Janos Abonyi
2008 Zenodo  
This paper focuses on the data-driven generation of fuzzy IF...THEN rules. The resulted fuzzy rule base can be applied to build a classifier, a model used for prediction, or it can be applied to form a decision support system. Among the wide range of possible approaches, the decision tree and the association rule based algorithms are overviewed, and two new approaches are presented based on the a priori fuzzy clustering based partitioning of the continuous input variables. An application study
more » ... s also presented, where the developed methods are tested on the well known Wisconsin Breast Cancer classification problem.
doi:10.5281/zenodo.1082148 fatcat:ksus2wguovhenbv6vcyjgec2aa