Rough-Neuro-Fuzzy System with MICOG Defuzzification
Robert K. Nowicki · 2006
This paper presents a new approach to fuzzy classification in case of missing information about object features. The rough set theory is incorporated into neuro-fuzzy structures and the rough-neuro-fuzzy classifier is derived. The architecture of the classifier is determined by the MICOG (modified indexed center of gravity) defuzzification method. Some illustrative examples are given.