Abstract
In this article we propose the use of intuitionistic fuzzy sets (Atanassov [2]) as a tool for reasoning under imperfect facts and imprecise knowledge, particularly via distances between intuitionistic fuzzy sets. We consider two issues: (1) a method to evaluate a degree (extent) of agreement (meant here as a distance from consensus) in a group of experts (individuals), and (2) a new approach to supporting medical diagnosis based on a reasoning scheme using a distance between intuitionistic fuzzy sets.
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Szmidt, E., Kacprzyk, J. Distances Between Intuitionistic Fuzzy Sets and their Applications in Reasoning. In: K. Halgamuge, S., Wang, L. (eds) Computational Intelligence for Modelling and Prediction. Studies in Computational Intelligence, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10966518_8
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DOI: https://doi.org/10.1007/10966518_8
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26071-4
Online ISBN: 978-3-540-32402-7
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