Voir la notice de l'article provenant de la source Czech Digital Mathematics Library
MR ZblDaňková, Martina. Representation of logic formulas by normal forms. Kybernetika, Tome 38 (2002) no. 6, pp. 717-728. http://geodesic.mathdoc.fr/item/KYB_2002_38_6_a3/
@article{KYB_2002_38_6_a3,
author = {Da\v{n}kov\'a, Martina},
title = {Representation of logic formulas by normal forms},
journal = {Kybernetika},
pages = {717--728},
year = {2002},
volume = {38},
number = {6},
mrnumber = {1954393},
zbl = {1265.03013},
language = {en},
url = {http://geodesic.mathdoc.fr/item/KYB_2002_38_6_a3/}
}
[1] Cignoli R., d’Ottaviano I. M. L., Mundici D.: Algebraic Foundations of Many–valued Reasoning. Kluwer, Dordrecht 2000 | MR | Zbl
[2] Hájek P.: Metamathematics of Fuzzy Logic. Kluwer, Dordrecht 1998 | MR | Zbl
[3] Kreinovich V., Nguyen H. T., Sprecher D. A.: Normal forms for fuzzy logic – an application of Kolmogorov’s theorem. Internat. J. Uncertainty, Fuzzy Knowledge-Based Systems 4 (1996), 331–349 | DOI | MR | Zbl
[4] Daňková M.: Extensionality and continuity of fuzzy relations. J. Electrical Engineering 51 (2000), (12/s), 33–35 | Zbl
[5] Novák V., Perfilieva, I., Močkoř J.: Mathematical Principles of Fuzzy Logic. Kluwer, Boston – Dordrecht 1999 | Zbl
[6] Perfilieva I.: Fuzzy logic normal forms for control law representation. In: Fuzzy Algorithms for Control (H. Verbruggen, H.-J. Zimmermann, and R. Babuska, eds.), Kluwer, Boston – Dordrecht 1999, pp. 111–125
[7] Perfilieva I.: Normal forms for fuzzy logic functions and their approximation ability. Fuzzy Sets and Systems, submitted | Zbl
[8] Perfilieva I.: Logical approximation. Fuzzy Sets and Systems, submitted | Zbl