An on-line method for self-organized learning and extraction of fuzzy rules from high dimensional data

In this paper we present an approach that is capable of online learning and automatic generation of a fuzzy expert system for high dimensional classification problems. The novel part of our system is a new online learning rule. Unlike other learning systems, this learning rule makes our system scale robustly with input space dimensions and thus suitable for high dimensional data. The algorithm is also able to extract knowledge in an online fashion in the form of fuzzy rules that are comprehensible, compact, and accurate.