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A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (2004) 3070 388-393
DOI: 10.1007/978-3-540-24844-6_56
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Abstract

We propose a new similarity measure for intuitionistic fuzzy sets and show its usefulness in medical diagnostic reasoning. We point out advantages of this new concept over the most commonly used similarity measures being just the counterparts of distances. The measure we propose involves both similarity and dissimilarity.

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Szmidt, E., & Kacprzyk, J. (2004). A similarity measure for intuitionistic fuzzy sets and its application in supporting medical diagnostic reasoning. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) (Vol. 3070, pp. 388–393). Springer Verlag. https://doi.org/10.1007/978-3-540-24844-6_56

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