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Issue:Medical diagnostic reasoning using a similarity measure for intuitionistic fuzzy sets

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Title of paper: Medical diagnostic reasoning using a similarity measure for intuitionistic fuzzy sets
Author(s):
Eulalia Szmidt
Systems Research Institute, Polish Academy of Sciences, 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
kacprzyk@ibspan.waw.pl
Presented at: Eighth International Conference on Intuitionistic Fuzzy Sets, Varna, 20-21 June 2004
Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 10 (2004) Number 4, pages 70-74
Download:  PDF (4784  Kb, File info)
Abstract: 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.
Keywords: intuitionistic fuzzy sets, similarity measure, medical diagnostic reasoning
References:
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