A characterization theorem for t-representable n-dimensional triangular norms


Autoria(s): Bedregal, B.; Beliakov, G.; Bustince, H.; Calvo, T.; Fernandez, J.; Mesiar, R.
Contribuinte(s)

Melo-Pinto, Pedro

Serodio, Carlos

Couto, Pedro

Fodor, Janos

De Baets, Bernard

Data(s)

01/01/2011

Resumo

n-dimensional fuzzy sets are an extension of fuzzy sets that includes interval-valued fuzzy sets and interval-valued Atanassov intuitionistic fuzzy sets. The membership values of n-dimensional fuzzy sets are n-tuples of real numbers in the unit interval [0,1], called n-dimensional intervals, ordered in increasing order. The main idea in n-dimensional fuzzy sets is to consider several uncertainty levels in the memberships degrees. Triangular norms have played an important role in fuzzy sets theory, in the narrow as in the broad sense. So it is reasonable to extend this fundamental notion for n-dimensional intervals. In interval-valued fuzzy theory, interval-valued t-norms are related with t-norms via the notion of t-representability. A characterization of t-representable interval-valued t-norms is given in term of inclusion monotonicity. In this paper we generalize the notion of t-representability for n-dimensional t-norms and provide a characterization theorem for that class of n-dimensional t-norms. © 2011 Springer-Verlag Berlin Heidelberg.

Identificador

http://hdl.handle.net/10536/DRO/DU:30043126

Idioma(s)

eng

Publicador

Springer - Verlag

Relação

http://dro.deakin.edu.au/eserv/DU:30043126/beliakov-acharacterizationtheorem-2011.pdf

http://dro.deakin.edu.au/eserv/DU:30043126/evid-bkeurofuse-2011.pdf

http://dx.doi.org/10.1007/978-3-642-24001-0_11

Direitos

2011, Springer-Verlag

Palavras-Chave #fuzzy set #expert system #triangular norm #theory
Tipo

Book Chapter