THE USE OF FUZZY CLUSTERING FOR BUILDING A KNOWLEDGE BASE IN THE PROBLEMS OF PREDICTING THE DURABILITY OF CORRODING STRUCTURES
Quite a lot of works are devoted to the study of methods for processing multidimensional data arrays in various subject areas, and these studies are far from being completed [1, 2]. Before starting to work with such data, if possible, preliminary processing should be carried out, for example, removal of abnormal or noisy elements, etc.
One of the directions of processing multidimensional arrays of various structures is cluster data analysis, which allows you to space heterogeneous data into subsets of a more or less homogeneous structure.
Solodka N.A., Shapovalov D.D. Analiz i obrabotka dannyh kompanii kak sposob povyshenija ee pribyl'nosti [Analysis and processing of company data as a method of profitability improving]. Elektronnij naukovo-praktichnij zhurnal «Shіdna Єvropa: ekonomіka, bіznes ta upravlіnnja. 2019. № 6 (23) S. 756–760. (in Russian) (in Scholar)
Us S.A., Korjashkina L.S. Modeli ta metody pryjnjattja rishen'(druge vydannja) [Models and methods of decision making] // Dnipropetrovs'k, NGU, 2018, 270 s. (in Ukranian) (in Scholar)
Korotka L.I., Korotka Y.A. The use of elements of computational intelligence in problems of forecasting of corroding constructions durability. Mathematical and computer modelling. Series: Technical sciences – 2017. Issue 16. – P 64-71. (in Scholar)
Korotka L. I. The use of fuzzy clustering in solving problem in predicting the durability of corrosive structures. Mathematical modeling. №2(43)2020, С. 44-54. (DOI: https://doi.org/10.31319/2519-8106.2(43)2020.219266) (in Scholar)
Pegat A. Fuzzy modeling and control. Springer Studies in Fuzziness and Soft Computing, 2001. 728 p.