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.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
Author information
Authors and Affiliations
Editor information
Rights and permissions
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/10966518_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26071-4
Online ISBN: 978-3-540-32402-7
eBook Packages: EngineeringEngineering (R0)