@misc{Jaworska_Tatiana_(1966–_)_Some_2009,
 author={Jaworska, Tatiana (1966– )},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Raport Badawczy = Research Report},
 howpublished={online},
 year={2009},
 publisher={Instytut Badań Systemowych. Polska Akademia Nauk},
 publisher={Systems Research Institute. Polish Academy of Sciences},
 language={eng},
 abstract={This article introduces the imprecision approach to high-level graphical object interpretation. It presents a step towards soft computing which supports the implementation of a content-based image retrieval (CBIR) system dealing with graphical object classification. Some crucial aspects of CBIR are presented here to illustrate the problems that we are now struggling with. The main motivation of these researches is to provide effective and efficient means for the semantic interpretation of graphical objects. The paper shows how the traditional feature vector method extends to match graphical objects, difficult to classify, by applying intuitionistic fuzzy sets and possibility theory. Cases are considered where both the classification of objects and their extraction are modeled using fuzzy set extensions.},
 title={Some Aspects of Intuitionistic Fuzzy Sets and Possibility Theory as an Approach to Graphical Object Semantics for CBIR.},
 type={Text},
 URL={http://www.rcin.org.pl/Content/104516/PDF/RB-2009-40.pdf},
 keywords={Intuicjonistyczne zbiory rozmyte, Intuitionistic fuzzy sets, Possibility theory, Teoria możliwości, System wyszukiwania obrazów po zawartości cbir, Obiekt graficzny, Indeksowanie obrazów, Klasyfikacja obrazów, Content-based image retrieval system, Graphical object, Image indexing, Image classification},
}