Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
, 2007 [2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +5 more sources
Sistema fuzzy tipo-2 intervalar implementado em FPGA baseado no algoritmo de Nie-Tan [PDF]
, 2021 This work aims to propose and validate an architecture of an interval type-2 fuzzy logic systems implemented in FPGA, which meets real-time control applications, with serial processing in the inference mechanisms.
MACIEL, Regimar
core +1 more source
Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
, 2003 This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
core +1 more source
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
core +1 more source
On-line identification of MIMO evolving Takagi-Sugeno fuzzy models [PDF]
, 2004 Evolving Takagi-Sugeno (eTS) fuzzy models and the method for their on-line identification has been recently introduced as an effective tool for design of flexible system models with minimum a priori information.
Angelov, Plamen, Xydeas, C, Filev, D
core +4 more sources
VERSÃO INTERVALAR PARA SISTEMAS DE INFERÊNCIA FUZZY [PDF]
, 2002 Em sistemas de inferência fuzzy, a especificação do grau de pertinência é feita pelo mapeamento do grau de incerteza no intervalo [0,1]. No entanto, esse intervalo muitas vezes não é suficiente para mapear determinados casos em que a precisão dos dados é
Bedregal, Benjamín René Callejas +1 more
core +1 more source
Sistema inteligente de monitoração alimentar via web baseado em lógica fuzzy [PDF]
, 2005 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da Computação.Este trabalho descreve a construção de sistemas de conhecimento aplicado ao apoio à decisão médica, utilizando ...
Stumm, Jaqueline
core
Zero overshoot and fast transient response using a fuzzy logic controller [PDF]
, 2012 In some industrial process control systems it is desirable not to allow an overshoot beyond the setpoint or a threshold, this could be a safety constraint or the requirement of the system.
Mehrdadi, Bruce, Saeed, Bakhtiar I.
core +3 more sources
Fuzzy and tile coding approximation techniques for coevolution in reinforcement learning [PDF]
, 2005 PhDThis thesis investigates reinforcement learning algorithms suitable for learning in large state space problems and coevolution. In order to learn in large state spaces, the state space must be collapsed to a computationally feasible size and then ...
Tokarchuk, Laurissa Nadia
core +4 more sources
Sistema especialista fuzzy para diagnóstico de transformadores de potência [PDF]
, 2005 Dissertação (mestrado) - Uiversidade Federal de Santa Catarina, Centro Tecnológico. Programa de Pós-Graduação em Ciência da ComputaçãoNeste trabalho é apresentado o desenvolvimento de um Sistema Especialista Fuzzy como proposta de solução computacional ...
Telles, Matheus Sebastian
core