ANALYSIS OF CLASSICAL MODELS OF CLASSIFICATION OF SLOWLY FORMED PROCESSES

In this work, classical models of classification of weakly formed processes were analyzed. The theory of fuzzy sets, the use of fuzzy relations in the modeling of objects and the information about the object in the linguistic form are presented again. Combining the elements of fuzzy set theory with evolutionary algorithms leads to the formation of hybrid algorithms. In this regard, the researches of a number of scientists on fuzzy sets, neural networks, fuzzy logical conclusions and evolutionary algorithms were analyzed.