Intelligent Gravitational Search Algorithm for optimum design of fuzzy classifier
Hossein Askari, Seyed-Hamid Zahiri · 2012
In this paper, membership function shapes and types and the fuzzy rules of fuzzy systems are adjusted by using a Intelligent Gravitational Search Algorithm (IGSA) in order to obtain an optimal fuzzy system. The advantages of this method in classifying various data sets are illustrated. Possible extensions of this technique are briefly discussed.