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Wyszukujesz frazę "fuzzy implications" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
On some properties of (h,e)-implications. distributivities with t-norms and t-conorms.
Autorzy:
Massanet, S.
Torrens, J.
Powiązania:
https://bibliotekanauki.pl/articles/91656.pdf
Data publikacji:
2012
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
(h, e)-implications
t-norm
t-conorm
fuzzy implications
Opis:
In this paper some basic properties of (h, e)-implications are studied. This kind of implications has been recently introduced (see [29]). They are implications generated from an additive generator of a representable uninorm in a similar way of Yager’s f- and gimplications which are generated from additive generators of continuous Archimedean t-norms and t-conorms, respectively. In addition, they satisfy a classical property of some types of implications derived from uninorms that is I(e,y) = y for all y ∈ [0,1]. Moreover they are examples of fuzzy implications satisfying the exchange principle but not the law of importation for any t-norm, in fact for any function F : [0,1] 2 → [0,1]. On the other hand, the distributivities with conjunctions and disjunctions (t-norms and t-conorms) are also studied leading to new solutions of the corresponding functional equations. Finally, it is proved that they do not intersect with any of the most used classes of implications.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 2; 109-123
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Type-2 fuzzy logic systems in applications: managing data in selective catalytic reduction for air pollution prevention
Autorzy:
Niewiadomski, Adam
Kacprowicz, Marcin
Powiązania:
https://bibliotekanauki.pl/articles/2031133.pdf
Data publikacji:
2021
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
Selective Catalytic Reduction
SCR
fuzzy management of DeNOx filter
fuzzy logic systems
”engineering” fuzzy implications
learning fuzzy rules
Opis:
The article presents our research on applications of fuzzy logic to reduce air pollution by DeNOx filters. The research aim is to manage data on Selective Catalytic Reduction (SCR) process responsible for reducing the emission of nitrogen oxide (NO) and nitrogen dioxide (NO2). Dedicated traditional Fuzzy Logic Systems (FLS) and Type-2 Fuzzy Logic Systems (T2FLS) are proposed with the use of new methods for learning fuzzy rules and with new types of fuzzy implications (the so-called ”engineering implications”). The obtained results are consistent with the results provided by experts. The main advantage of this paper is that type-2 fuzzy logic systems with ”engineering implications” and new methods of learning fuzzy rules give results closer to expert expectations than those based on traditional fuzzy logic systems. According to the literature review, no T2FLS were applied to manage DeNOx filter prior to the research presented here.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2021, 11, 2; 85-97
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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