| Title of paper:
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A new similarity measure for intuitionistic fuzzy sets and its use in supporting a medical diagnosis
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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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| Mikhail Matveev
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| CLBME-BAS, Sofia-1113, Acad. G. Bonchev Str., Bl. 105
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| mgm@clbme.bas.bg
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| Presented at:
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9th International Conference on Intuitionistic Fuzzy Sets, Sofia, 7-8 May 2005
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| Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 11 (2005), Number 4, pages 130-138
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| Download:
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 PDF (5679 Kb, File info)
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| Abstract:
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We propose a new measure of similarity for intuitionistic fuzzy sets, and use it in supporting a medical diagnosis. The proposed measure takes into account two kinds of distances — one to an object to be compared, and one to its complement. We infer about the similarity of preferences on the basis of a difference between the two types of distances. We show that inferring without taking into account a distance to a complement of an object can be misleading. The proposed here the new measure of similarity is simpler from a point of view of calculations than the measure we have proposed previously.
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| Keywords:
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fuzzy sets, intuitionistic fuzzy sets, similarity
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| References:
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