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Modelagem fuzzy usando agrupamento condicional
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2008-08-06)
The combination of fuzzy systems with clustering algorithms has great acceptance in the scientific community mainly due to its adherence to the advantage balance principle of computational intelligence, in which different ...
Um paradigma baseado em algoritmos genéticos para o aprendizado de regras Fuzzy
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2004-05-24)
The construction of the knowledge base of fuzzy systems has been beneficited intensively from automatic methods that extract the necessary knowledge from data sets which represent examples of the problem. The evolutionary ...
M-convex fuzzy mappings and fuzzy integral mean
(Pergamon-elsevier Science LtdOxfordInglaterra, 2000)
The use of possibility theory in the definition of fuzzy Pareto-optimality
(SpringerNew YorkEUA, 2011)
Scalarization of Type-1 Fuzzy Markov Chains
(International Conference on Intelligent Computing, 2010)
This paper presents a method to transform Fuzzy Markov chains into Crisp Markov chains by means of an equivalence matrix derived from the concept of Scalar cardinality of a fuzzy set. This proposal is a linear transformation ...
Addition and subtraction of interactive fuzzy numbers via family of joint possibility distributions
(2021-01-01)
In this article we propose a method to calculate the sum and difference of two interactive fuzzy numbers. These arithmetic operations are obtained by the sup-J extension principle, which is a generalization of the Zadeh's ...