0469166 20240103213401.120170116235959.9 84925487902 000351409400002 10.1007/s00500-014-1489-0 16 s. P cav_un_epca*02583681432-7643193 (2015)531-546Springer Mathematical fuzzy logic degree-preserving fuzzy logics paraconsistent logics logics of formal inconsistency cav_un_auth*0293880 Ertola R. BR cav_un_auth*0019168 Esteva F. ES cav_un_auth*0328767 Flaminio T. IT cav_un_auth*0015019 Godo L. ES cav_un_auth*0293476 Matematická teorie rozhodování Department of Decision Making Theory MTR MTR Department of Decision Making Theory Noguera Carles UTIA-B K Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2016/MTR/noguera-0469166.pdf cav_un_auth*0341166 GAP202/10/1826 GA ČR Paraconsistent logics are specially tailored to deal with inconsistency, while fuzzy logics primarily deal with graded truth and vagueness. Aiming to find logics that can handle inconsistency and graded truth at once, in this paper we explore the notion of paraconsistent fuzzy logic. We show that degree-preserving fuzzy logics have paraconsistency features and study them as logics of formal inconsistency. We also consider their expansions with additional negation connectives and first-order formalisms and study their paraconsistency properties. Finally, we compare our approach to other paraconsistent logics in the literature. BA 2017 5 RVO:67985556 http://hdl.handle.net/11104/0269416 S COMPUTERSCIENCE.INTERDISCIPLINARYAPPLICATIONS|COMPUTERSCIENCE.ARTIFICIALINTELLIGENCE 1.732 0.352 5 0.00642 0.52 2517 0.759 Q2 1.375 261 Q2 31.956 56.3 Q3 Q2 57.308 2015 84925487902 SCOPUS PUBMED 000351409400002 WOS cav_un_epca*0258368 Soft Computing 1432-7643 1433-7479 Roč. 19 č. 3 2015 531 546 Springer