Incremental induction of fuzzy classification rules

Abstract

The present paper presents an incremental fuzzy rule based system for classification purposes. Relying on fuzzy min-max neural networks, the present paper shows how fuzzy rules can be continuously online generated to meet the requirements of non-stationary dynamic environments. Simulation results are reported to show the effectiveness of the proposed approach.