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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 ...
Fuzzy Control of Chaos
(1998)
Numerical Solution for Fuzzy Partial Differential Equations with Interactive Fuzzy Boundary Conditions
(2022-01-01)
This paper presents a numerical method to solve fuzzy partial differential equations, where the initial and boundary conditions are given by interactive fuzzy numbers. Interactivity is a relationship between fuzzy numbers ...
Power system loading margin estimation using a neuro-fuzzy approach
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2007)
Fuzzy sets in distributed traffic control
(1996-12-01)
The task of controlling urban traffic requires flexibility, adaptability and handling uncertain information spread through the intersection network. The use of fuzzy sets concepts convey these characteristics to improve ...
Fuzzy sets in distributed traffic control
(1996-12-01)
The task of controlling urban traffic requires flexibility, adaptability and handling uncertain information spread through the intersection network. The use of fuzzy sets concepts convey these characteristics to improve ...
Geração genética de classificador fuzzy intervalar do tipo-2
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2009-10-30)
The objective of this work is to study, expand and evaluate the use of interval type-2 fuzzy sets in the knowledge representation for fuzzy inference systems, specifically for fuzzy classifiers, as well as its automatic ...
A highly adaptive algorithm for fuzzy modelling of systems
(World Scientific Publ Co Pte LtdSingaporeSingapura, 1998)
Top-down strategies based on adaptive fuzzy rule-based systems for daily time series forecasting
(Elsevier Science BvAmsterdamHolanda, 2011)
Transient stability analysis of electrical power systems using a neural network based on fuzzy ARTMAP
(2003-12-01)
This work presents a methodology to analyze transient stability for electric energy systems using artificial neural networks based on fuzzy ARTMAP architecture. This architecture seeks exploring similarity with computational ...