Article ID Journal Published Year Pages File Type
6905793 Applied Soft Computing 2014 12 Pages PDF
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.
Related Topics
Physical Sciences and Engineering Computer Science Computer Science Applications
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