Structural fuzzy classification system, evolves and its engineering application

Abstract

The proposed structural fuzzy classification system (SFCS) is an online self-organizing method and automatically identifies the prominent distinct data in the output domain for the new fuzzy rule. Thus, SFCS always tends from higher to lower error region. Both evolving error and rule creation are dynamically realized from the past and current knowledge. Therefore, effective rule-base is the balanced fuzzy model of the approximated system. This effective rule-base might be applied to engineering application to depict the prominent distinction on the output space.