Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6905793 | Applied Soft Computing | 2014 | 12 Pages |
Abstract
This contribution presents a fuzzy discretization approach, which is used to generate automatically promising granularities and their associated fuzzy partitions. This mechanism is integrated within a Multi-Objective Fuzzy Association Rule-Based Classification method, namely D-MOFARC, which concurrently performs a tuning and a rule selection process on an initial knowledge base. The aim is to obtain fuzzy rule-based classification systems with high classification performances, while preserving their complexity.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Michela Fazzolari, Rafael Alcalá, Francisco Herrera,