Veracity handling and instance reduction in big data using interval type-2 fuzzy sets
Within the aspect of big data, veracity refers to the existing uncertainty in the dataset. The
continuous flow of unstructured data with unwanted noise may bring abnormality in the …
continuous flow of unstructured data with unwanted noise may bring abnormality in the …
Multiobjective evolutionary interpretable type-2 fuzzy systems with structure and parameter learning for hexapod robot control
WC Su, CF Juang, CM Hsu - IEEE Transactions on Systems …, 2021 - ieeexplore.ieee.org
This article proposes a data-driven multiobjective evolutionary interval type-2 fuzzy-logic
system (IT2FLS) learning approach that considers both system performance and rule …
system (IT2FLS) learning approach that considers both system performance and rule …
A multi-agent architecture for the design of hierarchical interval type-2 beta fuzzy system
This paper presents a new methodology for building and evolving hierarchical fuzzy
systems. For the system design, a tree-based encoding method is adopted to hierarchically …
systems. For the system design, a tree-based encoding method is adopted to hierarchically …
[HTML][HTML] Fuzzy systems: An approach to 5G networks under the software defined network paradigm
LF Albarracin-Sanchez, GA Puerto-Leguizamón - Revista científica, 2018 - scielo.org.co
The exploitation that has had the fuzzy systems related to advances of 5G networks (Fifth
Generation Mobile Networks) and how this development has been framed by the paradigm …
Generation Mobile Networks) and how this development has been framed by the paradigm …
Evolutionary multi-objective based hierarchical interval type-2 beta fuzzy system for classification problems
This study addresses evolutionary structure optimization and parameter tuning processes for
evolving a proposed Hierarchical interval Type-2 Beta Fuzzy System (HT2BFS). The …
evolving a proposed Hierarchical interval Type-2 Beta Fuzzy System (HT2BFS). The …