Buscar
Mostrando ítems 1-10 de 69
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...
Traffic flow breakdown prediction using feature reduction through Rough-Neuro fuzzy Networks
(2011-10-24)
The prediction of the traffic behavior could help to make decision about the routing process, as well as enables gains on effectiveness and productivity on the physical distribution. This need motivated the search for ...
Biological image classification using rough-fuzzy artificial neural network
(2015-12-30)
This paper presents a methodology to biological image classification through a Rough-Fuzzy Artificial Neural Network (RFANN). This approach is used in order to improve the learning process by Rough Sets Theory (RS) focusing ...
A Rough-Fuzzy approach for Support Vector Clustering
(Elsevier, 2016)
Support Vector Clustering (SVC) is an important density-based clustering algorithm which can be applied in many real world applications given its ability to handle arbitrary cluster silhouettes and detect the number of ...
Geração de Regras de Decisão Fuzzy Utilizando a Teoria dos Rough Sets
(Universidade Federal de UberlândiaBRPrograma de Pós-graduação em Ciência da ComputaçãoCiências Exatas e da TerraUFU, 2016)
Representación efectiva de dinámicas fisiológicas mediante fuzzy rough set: una revisión
(Universidad Santo Tomás. Seccional Bucaramanga, 2011-12-12)
Grafos fuzzy intervalares n-dimensionais
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM SISTEMAS E COMPUTAÇÃO, 2021-12-03)
A fuzzy graph, roughly speaking, is a fuzzy relation between the elements of a nonempty
set. They are ideal for modeling uncertain data about these sets. There are several
extensions of fuzzy graph for different fuzzy ...