@misc{Szmidt_Eulalia._Autor_Distances_2004,
 author={Szmidt, Eulalia. Autor and Kacprzyk, Janusz (1947– ). Autor},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2004},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 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.},
 title={Distances between intuitionistic fuzzy sets and their applications in reasoning},
 type={Text},
 keywords={Intuitionistic fuzzy sets, Medical databases, Medical diagnosis, Distances between intuitionistic fuzzy sets},
}