@misc{Szmidt_Eulalia._Autor_Similarity_2005,
 author={Szmidt, Eulalia. Autor and Baldwin, Jim. Autor},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2005},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={We show some similarities/parallels between two of the theories dealing with widely understood (not only as randomness) uncertainty - mass assignment theory and intuitionistic fuzzy set theory. Mass assignment theory is well known tool for dealing with both probabilistic and fuzzy uncertainties. On the other hand intuitionistic fuzzy set theory is an extension of fuzzy set theory which makes it possible to describe imprecise information. Next, we propose new measures of similarity for both theories. The proposed measures take into account not only a pure distance between compared elements but answer the questions if the considered elements/objects are more similar or more dissimilar (the measures take into account and compare two types of distances). It is shown that even if a distance between compared objects is small, it can happen that the objects are completely dissimilar.},
 title={Similarity measures for intuitionistic fuzzy set theory and mass assignment theory},
 type={Text},
 keywords={Intuicjonistyczne zbiory rozmyte, Intuitionistic fuzzy set theory, Mass assignment theory, Similarity measures, Miara podobieństwa},
}