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Processamento de conhecimento impreciso combinando raciocínio de ontologias fuzzy e sistemas de inferência fuzzy
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Ciência da Computação - PPGCC, 2013-12-13)
In Computer Science, ontologies are used for knowledge representation in a number of applications, aiming to structure and handle domain semantics through models shared by humans and computational systems. Although traditional ...
Hierarchical fuzzy relational models: Linguistic interpretation and universal approximation
(Ieee-inst Electrical Electronics Engineers IncPiscatawayEUA, 2006)
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 ...
Lattice Fuzzy Transforms From The Perspective Of Mathematical Morphology
(ELSEVIER SCIENCE BVAMSTERDAM, 2016)
Lattice Fuzzy Transforms From The Perspective Of Mathematical Morphology
(Elsevier Science BVAmsterdam, 2016)
On the performance of Some Edge Detectors for Gray Scale Images
(Old City Publishing Inc, 2019-03)
Image processing represents an important challenge in different fields. Mathematical Morphology uses concepts from set theory, geometry, algebra and topology to analyze the geometrical structure of an image. Using them, ...