In this work, we consider one of the tasks of data mining, the problem of classification. It uses algorithms of the logical model of fuzzy classification and algorithms of k nearest neighbors. In the process of building a fuzzy logic model, in some cases, some methods from the base of fuzzy rules were used by the method of mountain clustering. In addition, the article proposes a new method for constructing a base of fuzzy rules, using the method of fuzzy clustering. In addition, in the article, the problem of classifying the Iris flower was solved based on some classification algorithms and the results were compared
Mingliqulov, Z B. and Sotvoldiyev, D M.
"MODERN ALGORITHMS OF RECOGNIZING SYMBOLS,"
Scientific-technical journal: Vol. 22
, Article 34.
Available at: https://uzjournals.edu.uz/ferpi/vol22/iss1/34