@misc{Szmidt_Eulalia._Autor_Towards_2002,
 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={2002},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={Intuitionistic fuzzy sets, due to of an additional degree of freedom, can be viewed as a generalization of fuzzy sets. The additional degree of freedom makes a better modelling of imperfect information possible. We propose the use of intuitionistic fuzzy sets for a more human consistnet reasoning under imprecise knowledge. An example of a medical database is considered. Employing intuitionistic fuzzy sets, we can express a hestitation concerning both the patients and illnesses. An illness for each patient is found by looking for the smallest distance between symptoms that are characteristic for a patient, and symptoms describing illnesses. Our new approach can help avoid drawbacks of the max-min-max rule that is usually employed.},
 title={Towards more human consistent reasoning via intuitionistic fuzzy sets},
 type={Text},
 keywords={Imperfect information, Rozmyte relacje preferencji, Stomach problem, Fuzzy relation equation, Problem żołądkowy, Rozmyte równanie zależności},
}