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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