Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Piotr Helbin"'
Publikováno v:
Fuzzy Sets and Systems. 441:33-57
In this paper, we investigate some functional equations and inequalities which are associated with recognized reasoning schemes like hypothetical syllogism, modus ponens, modus tollens and reduction to absurdity. First, we recall facts and theorems t
Autor:
Michał Baczyński, Sebastia Massanet, Wanda Niemyska, Daniel Ruiz-Aguilera, Pedro Berruezo, Piotr Helbin
Publikováno v:
Fuzzy Sets and Systems. 431:110-128
From the beginnings of fuzzy logic, the Sheffer stroke operation has been overlooked and the efforts of the researchers have been devoted to other logical connectives. In this paper, the Sheffer stroke operation is introduced in fuzzy logic generaliz
Publikováno v:
Information Sciences. 502:1-17
In 2011 Grzegorzewski introduced two new families of fuzzy implication functions called probabilistic implications and probabilistic S-implications. They are based on copulas and make a bridge between probability theory and fuzzy logic. Another famil
Publikováno v:
Fuzzy Sets and Systems. 323:138-151
Probabilistic implications and probabilistic S-implications, introduced recently by Grzegorzewski, have attracted attention of researchers engaged in fuzzy implications. Since these two families are based on copulas, they form a kind of bridge betwee
Publikováno v:
EUSFLAT Conf.
Scopus-Elsevier
Scopus-Elsevier
In this paper we investigate two generalizations, in fuzzy logic, of classical scheme of reduction to absurdity. We compare them with two possible generalizations of classical hypothetical syllogism (in fuzzy logic) and we show that generalized hypot
Publikováno v:
New Trends in Aggregation Theory ISBN: 9783030194932
AGOP
AGOP
In this paper we investigate some properties of generalized hypothetical syllogism (GHS). We focus on the class of Yager’s implications and give some solutions of (GHS) among this family. Furthermore, we show some relations between the class of agg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2991fcefd975a4a2c01b37de94d24ca
https://doi.org/10.1007/978-3-030-19494-9_12
https://doi.org/10.1007/978-3-030-19494-9_12
Publikováno v:
Information Sciences. 331:2-14
Recently, Grzegorzewski (2011) introduced two new families of fuzzy implication functions called probabilistic implications and probabilistic S-implications. They are based on conditional copulas and make a bridge between probability theory and fuzzy
Autor:
Piotr Helbin, Michał Baczyński, Pedro Berruezo, Sebastia Massanet, Daniel Ruiz-Aguilera, Wanda Niemyska
Publikováno v:
Artificial Intelligence and Soft Computing ISBN: 9783319912615
ICAISC (2)
ICAISC (2)
The generalization of the classical logical connectives to the fuzzy logic framework has been one of the main research lines since the introduction of fuzzy logic. Although many classical logical connectives have been already generalized, the Sheffer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc56a638d76fc22261642811e55bfb8
https://doi.org/10.1007/978-3-319-91262-2_56
https://doi.org/10.1007/978-3-319-91262-2_56
Autor:
Piotr Helbin
Publikováno v:
Advances in Fuzzy Logic and Technology 2017 ISBN: 9783319668239
EUSFLAT/IWIFSGN (2)
EUSFLAT/IWIFSGN (2)
In 2011 Grzegorzewski introduced two new families of fuzzy implication functions called probabilistic implications and probabilistic s-implications. They are based on conditional copulas and make a bridge between probability theory and fuzzy logic. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d03115bb6f7750a22b474aa818ca3687
https://doi.org/10.1007/978-3-319-66824-6_20
https://doi.org/10.1007/978-3-319-66824-6_20
Autor:
Piotr Helbin, Michał Baczyński
Publikováno v:
IFSA-EUSFLAT
Recently, Grzegorzewski [9] introduced two new families of fuzzy implication functions called survival implications and survival S-implications. These two classes of multivalued implications are based on conditional copulas. In the same article the a