Identification of fuzzy classifiers based on the mountain clustering and cuckoo search algorithms

This paper presents a method for identification of fuzzy classifiers by means of data analysis. The method is based on the assumption that the data of the same classes form compact regions (clusters) in the input space. The algorithms for structure generation and parameter optimization of the fuzzy classifiers are proposed.