Bodyanskiy, Ye. V.Shafronenko, A. Yu.Klymova, I. N.2020-11-142020-11-142020Ye. Bodyanskiy, A. Shafronenko, I. Klymova Online Сredibilistic Fuzzy Clustering of Data with Gaps. 1st International scientific and practical con-ference “Prob-lems and perspec-tives of modern science and prac-tice” (January 30-31, 2020), Graz, Austria, P. 43-45http://openarchive.nure.ua/handle/document/13806The problem of online fuzzy clustering based on credibilistic approaches based on the partial distance strategy and processing of data with gaps was proposed. The considered methods are simple in numerical implementation, being essentially gradient procedures for optimizing objective functions of a special type.enFuzzy clusteringdata with gapsAbstract of Thesis