@misc{Jaworska_Tatiana_(1966–_)_Developments_2010,
 author={Jaworska, Tatiana (1966– )},
 copyright={Creative Commons Attribution BY 4.0 license},
 address={Warszawa},
 journal={Książka = Book},
 howpublished={online},
 year={2010},
 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 our researches is to provide effective and efficient means for the interpretation of graphical object classification. 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. We consider the cases where both classification of objects and their retrieval are modelled with the aid of fuzzy set extensions.},
 title={Developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: Applications * Aspects of intuitionistic fuzzy sets and possibility theory in graphical object classification for CBIR},
 type={Text},
 URL={http://www.rcin.org.pl/Content/198367/PDF/KS-2010-06-T2P13.pdf},
}