
Algorithm to forming a rule base for a fuzzy classifier designed on the basis of the K-means clustering algorithm and the whale optimization algorithm
Author(s) -
Nikolay Koryshev,
I. A. Hodashinsky
Publication year - 2021
Language(s) - English
DOI - 10.21293/1818-0442-2021-24-1-42-47
Subject(s) - cluster analysis , algorithm , computer science , fuzzy clustering , data mining , fuzzy rule , classifier (uml) , fuzzy logic , artificial intelligence , canopy clustering algorithm , pattern recognition (psychology) , fuzzy set
The article presents a description of the algorithm for generating fuzzy rules for a fuzzy classifier using data clustering, metaheuristic, and the clustering quality index, as well as the results of performance testing on real data sets.