Navegando por Assunto "Logic fuzzy"

Agora exibindo 1 - 3 de 3

Acesso aberto (Open Access)
Classificação de dados utilizando algoritmos genéticos e lógica difusa
(Universidade Federal do Pará, 2008-12-14) KATO, Rodrigo Bentes; OLIVEIRA, Roberto Célio Limão de; http://lattes.cnpq.br/4497607460894318
Several of the traditional techniques of Data Mining have been applied successfully and others have some limitations. Both, in performance and the quality of knowledge generated. Recent research has shown that the techniques in the field of IA, such as GA and Fuzzy sets, can be used successfully. In this research we are interested in investigating the applicability of a hybrid combination of genetic algorithms and fuzzy sets to find rules in large and complex spaces. This paper presents a Genetic Algorithm (GA), using Fuzzy Logic, for coding, assessment and reproduction of chromosomes, looking for classifying data using extracted rules for the automatic way with the evolution of chromosomes. The Fuzzy Logic is used to make the rules clearer and closer to human language, using linguistic representations to identify continuous data.
Acesso aberto (Open Access)
Estratégia de planejamento e otimização do handover em redes móveis densificadas
(Universidade Federal do Pará, 2018-06-29) SILVA, Ketyllen da Costa; ARAÚJO, Jasmine Priscyla Leite de; FRANCÊS, Carlos Renato Lisboa; http://lattes.cnpq.br/7458287841862567
The increase in mobile devices and applications in recent years has led to an overload of the network infrastructure responsible for disposing this traffic, thus affecting the performance of the network as the user experience.Heterogeneous mobile networks are already a reality and their densification has been put forward as one of the suggested solutions to meet the expected demands for 5th generation (5G) mobile networks. However, in the current networks, it is still common for fixed parameters to be used for the configuration of the network although this strategy does not always prove to be efficient. It is within this context that the concept of selforganizing networks (SONs) has been established, in which several network parameters are automatically adjusted on the basis of measurements and intelligent systems in real time. This thesis presents a strategy to optimize the handover in LTE networks with dense small cells. Based on measurements and fuzzy logic new algorithms are proposed for self-tuning network parameters. From discrete simulation using MATLAB, the results are evaluated and presented through the main performance metrics of handover.
Acesso aberto (Open Access)
Predição de falhas em redes de grades OBS com plano de controle GMPLS
(Universidade Federal do Pará, 2013-01-09) BECHARA, Mariana Castro; CERQUEIRA, Eduardo Coelho; http://lattes.cnpq.br/1028151705135221
This paper presents a proposal for predict failures in OBS grid network with GMPLS to assist applications in collaborative environments, like E-Science. Agents monitoring traffic (DQMA-Fuzzy) for related QoS parameters and others related to imperfections in optical links. A system based on fuzzy logic has been developed to give more robustness and flexibility in decision-making agents, because it presents a solution faster and easily implementable. NS-2 (Network Simulator – 2) simulations show that the proposed DQMA-Fuzzy is able to minimize blockages and balancing the use of grid resources, ensuring well-defined service levels, assisting in traffic engineering and fault prediction.