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Issue:Selection of the attributes in intuitionistic fuzzy models

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Title of paper: Selection of the attributes in intuitionistic fuzzy models
Author(s):
Eulalia Szmidt
Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
Warsaw School of Information Technology, ul. Newelska 6, 01-447 Warsaw, Poland
szmidt@ibspan.waw.pl
Janusz Kacprzyk
Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
Warsaw School of Information Technology, ul. Newelska 6, 01-447 Warsaw, Poland
kacprzyk@ibspan.waw.pl
Published in: Notes on Intuitionistic Fuzzy Sets, Volume 24 (2018), Number 4, pages 63–71
DOI: https://doi.org/10.7546/nifs.2018.24.4.63-71
Download:  PDF (335 Kb  Kb, File info)
Abstract: We present a novel method of attribute selection for data bases which are expressed via intuitionistic fuzzy sets (IFSs, for short). We use the three term representation of the IFSs which makes it possible to construct a transparent and justified function that makes it possible to select attributes for widely understood decision making, e.g., for classification tasks. We test the proposed method using a well known example from literature. The results obtained are compared with other methods.
Keywords: Intuitionistic fuzzy sets, Three term representation of IFSs, Selection of attributes.
AMS Classification: 03E72, 34Gxx.
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