REVIEW OF THE ACHIEVEMENTS OF EMPLOYEES OF THE LUBLIN UNIVERSITY OF TECHNOLOGY IN THE FIELD OF FUZZY SET UTILIZATION
Maciej Celiński
m.celinski@pollub.plLublin University of Technology, Faculty of Mathematics and Technical Computer Science (Poland)
https://orcid.org/0000-0001-8412-207X
Adam Kiersztyn
Lublin University of Technology, Faculty of Mathematics and Technical Computer Science (Poland)
https://orcid.org/0000-0001-5222-8101
Abstract
In this paper, we present a review of research on the applications of fuzzy set theory conducted by Lublin University of Technology researchers. We focus on analyzing research trends and practical applications of fuzzy sets in time series analysis and missing data imputation. Fuzzy sets constitute a key methodology for addressing data uncertainty and imprecision. We discuss various techniques within the field of fuzzy sets, including fuzzy classification, outlier detection, and missing data imputation, emphasizing their significance across various fields of science and social life. The presented results indicate the potential for innovative research and further development in this field. The academic community at Lublin University of Technology plays a significant role in promoting and advancing fuzzy set theory, which is crucial for future scientific and technological research.
Keywords:
fuzzy sets, fuzzy methods, outlier detection, fuzzy classification, missing data fillingReferences
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Authors
Maciej Celińskim.celinski@pollub.pl
Lublin University of Technology, Faculty of Mathematics and Technical Computer Science Poland
https://orcid.org/0000-0001-8412-207X
Authors
Adam KiersztynLublin University of Technology, Faculty of Mathematics and Technical Computer Science Poland
https://orcid.org/0000-0001-5222-8101
Statistics
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