An On-Line Learning Method for Fuzzy Classification Systems with SCW Algorithm

Abstract

This paper discuss the on-line learning of fuzzy classification system. The on-line learning algorithm is formulated using Exact Soft Confidence Weighted (SCW) learning, which has been proposed in the machine learning community. Under the situation where only a single training pattern is available at a time, a fuzzy classification system is incrementally constructed using SCW. We will discuss the characteristic feature of the on-line learning by a series of computational experiments.