@misc{Szmidt_Eulalia._Autor_An_2001,
 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={2001},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={We propose a new approach for medical diagnosis by employing intuitionistic fuzzy sets. Solution is obtained by looking for the smallest distance between symptoms that are characteristic for a patient and symptoms describing illnesses considered. We point out advantages of this new technique over the method where intuitionistic fuzzy sets were also applied but the max-min-max compoition of intuitionistic fuzzy relations was used instead of taking into account all, unchanged symptom values as proposed in this article.},
 title={An intuitionistic fuzzy set based on approach to intelligent data analysis (an application to medical diagnoisis)},
 type={Text},
 keywords={Intuicjonistyczne zbiory rozmyte, Intuitionistic fuzzy sets, Medical databases, Medyczna baza danych, Medical diagnosis, Diagnoza medyczna, Inteligentna analiza danych, Statystyczna analiza danych},
}