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Issue:Interval-valued intuitionistic fuzzy sets as tools for evaluation of data mining processes

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Title of paper: Interval-valued intuitionistic fuzzy sets as tools for evaluation of data mining processes
Author(s):
Krassimir Atanassov
Department of Bioinformatics and Mathematical Modelling, Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str., Bl. 105, Sofia-1113, Bulgaria
Intelligent Systems Laboratory, Prof. Asen Zlatarov University, Burgas-8010, Bulgaria
krat@bas.bg
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 24 (2018), Number 4, pages 190–202
DOI: https://doi.org/10.7546/nifs.2018.24.4.190-202
Download:  PDF (164 Kb  Kb, File info)
Abstract: Intuitionistic Fuzzy Sets (IFSs), proposed in 1983, are extensions of fuzzy sets. Some years after their introduction, interval-valued IFSs (IVIFSs) were introduced. During the last 30 years, their properties were studied and these sets were used as tool for evaluation of different objects and processes from the area of the Artificial Intelligence. Short review of these legs of research is offered, with some concrete ideas of possible new directions of study. On this basis, a non-formal discussion is raised on the benefits of applying various elements of IVIFSs as tools

for evaluation of Data Mining processes.

Keywords: Data mining, Interval-valued intuitionistic fuzzy set, Intuitionistic fuzzy set.
AMS Classification: 03E72
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