Development of Clustering Methods Based on Interval Fuzzy Sets of the Second Type and Genetic Algorithms

Cluster analysis is often used to solve the problems of assessing the technical condition of construction objects. Among clustering methods, the cmeans method is the most popular. The application of the apparatus of the theory of fuzzy sets together with the method of c-means, namely, the algorithm of fuzzy cmeans, gives good results. The article considers the problem of solving the problem of object clustering using the algorithm of possible c-means together with interval fuzzy sets of the second type and the genetic algorithm. The results presented in the article demonstrate stable good results, which confirms the expediency of its application in solving clustering problems.