Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Daniel Ruiz Aguilera"'
Publikováno v:
IEEE Transactions on Fuzzy Systems. 31:1484-1496
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92f86bb40e71cd59803f1c0ee9f365f6
https://doi.org/10.1109/tfuzz.2022.3204450
https://doi.org/10.1109/tfuzz.2022.3204450
Publikováno v:
Fuzzy Sets and Systems. 451:176-195
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b0d856f19242bf38ad6a77f1916ab13e
https://doi.org/10.1016/j.fss.2022.06.016
https://doi.org/10.1016/j.fss.2022.06.016
Publikováno v:
Fuzzy Sets and Systems. 441:215-223
Conditional distributivity (also called restricted distributivity) is a form of relaxed distributivity on the restricted domain. There are three options for conditional distributivity in literature. In this paper, we focus on type-III conditional dis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b6add13bcd7f91d1c16f6d646c0576
https://doi.org/10.1016/j.fss.2021.08.025
https://doi.org/10.1016/j.fss.2021.08.025
Publikováno v:
Applied Sciences, Vol 11, Iss 2, p 560 (2021)
Many computer vision algorithms which are not robust to noise incorporate a noise removal stage in their workflow to avoid distortions in the final result. In the last decade, many filters for salt-and-pepper noise removal have been proposed. In this
Externí odkaz:
https://doaj.org/article/a396e47df7a54628879c251e86dff831
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd7c711253c762021571a252f420e2c
https://doi.org/10.1016/j.fss.2021.05.003
https://doi.org/10.1016/j.fss.2021.05.003
Publikováno v:
Information Sciences. 639:118571
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bb966d16fece929d3a9e9d429934601
https://doi.org/10.1016/j.ins.2023.01.040
https://doi.org/10.1016/j.ins.2023.01.040
Publikováno v:
Fuzzy Sets and Systems. 462:108469
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a24a1d0806e329f35e9eafb91f618f41
https://doi.org/10.1016/j.fss.2023.01.004
https://doi.org/10.1016/j.fss.2023.01.004
Publikováno v:
Fuzzy Sets and Systems. 359:3-21
The translation of the classical Non-Contradiction (NC) principle, as well as its dual law: the Excluded-Middle (EM) principle, to the framework of fuzzy logic leads to a well-known functional equation involving appropriate aggregation and negation f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a35cc2956f47c7ce8ceff854732d1256
https://doi.org/10.1016/j.fss.2018.03.012
https://doi.org/10.1016/j.fss.2018.03.012
Publikováno v:
Fuzzy Sets and Systems. 359:22-41
In any fuzzy rules based system the inference management is usually carried out by the so-called fuzzy implication functions. In this framework, the Modus Ponens property becomes essential to make forward inferences and it is well known that this inf
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::91cb71263312935109cc96f58e88e436
https://doi.org/10.1016/j.fss.2018.09.014
https://doi.org/10.1016/j.fss.2018.09.014
Publikováno v:
Fuzzy Sets and Systems. 359:63-79
Probabilistic and survival implications are two kinds of fuzzy implication functions that combine the imprecision modelled by fuzzy concepts and the imprecision modelled by the probability theory. Both kinds of fuzzy implication functions are derived
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea283ae4e852502842bd35a742b8ffae
https://doi.org/10.1016/j.fss.2018.06.014
https://doi.org/10.1016/j.fss.2018.06.014