| Title of paper:
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Classification with nominal data using in intuitionistic fuzzy sets
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| Author(s):
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| Eulalia Szmidt
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| Systems Research Institute - Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
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| szmidt@ibspan.waw.pl
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| Janusz Kacprzyk
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| Systems Research Institute - Polish Academy of Sciences, ul. Newelska 6, 01-447 Warsaw, Poland
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| kacprzyk@ibspan.waw.pl
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| Published in:
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"Notes on IFS", Volume 12, 2006, Number 3, pages 1–14
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| Download:
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 PDF (131 Kb, Info)
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| Abstract:
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The classical classification problem is considered. Nominal data are assumed. First, to make the problem practically tractable, some transformation into the numerical (real) domain is performed using a frequency based analysis. Then, the use of a fuzzy sets based, and - particular - intuitionistic fuzzy sets based technique is proposed. To make the procedure proposed intuitively justified and appealing, the analysis is heavily based on an example. Importance of the results obtained for other areas exemplified by decision making and case based reasoning is mentioned
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| Keywords:
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nominal data, classification, fuzzy sets, intuitionistic fuzzy sets.
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| References:
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