Title of paper:
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Medical diagnostic reasoning using a similarity measure for 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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Presented at:
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Eighth International Conference on Intuitionistic Fuzzy Sets, Varna, 20-21 June 2004
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Published in:
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"Notes on Intuitionistic Fuzzy Sets", Volume 10 (2004) Number 4, pages 70-74
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Download:
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PDF (4784 Kb, File info)
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Abstract:
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We propose a new similarity measure for intuitionistic fuzzy sets (cf. Atanassov [l, 2]) and show its usefulness in medical diagnostic reasoning. We point out advantages of this new concept over the method proposed previously (cf. Szmidt and Kacprzyk [23]) where distances were used instead of the proposed similarity measure.
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Keywords:
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intuitionistic fuzzy sets, similarity measure, medical diagnostic reasoning
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References:
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