A deep learned type-2 fuzzy neural network: Singular value decomposition approach

SN Qasem, A Mohammadzadeh - Applied Soft Computing, 2021 - Elsevier
The main objective of this study is to present a novel dynamic fractional-order deep learned
type-2 fuzzy logic system (FDT2-FLS) with improved estimation capability. The proposed …

Evaluating the performance of data level methods using keel tool to address class imbalance problem

K Upadhyay, P Kaur, DK Verma - Arabian Journal for Science and …, 2022 - Springer
The class imbalance problem (CIP) has become a hot topic of machine learning in recent
years because of its increasing importance in today's era. As the application area of …

GT2FS-SMOTE: An intelligent oversampling approach based upon general type-2 fuzzy sets to detect web spam

P Kaur, A Gosain - Arabian Journal for Science and Engineering, 2021 - Springer
With the growing internet, web spam is also increasing, which majorly affect the user
experiences with search engines. Web spam methods target the search engine's internal …

[PDF][PDF] State of the art on data level methods to address class imbalance problem in binary classification

K Upadhyay, P Kaur, S Prasad… - GIS Science …, 2021 - researchgate.net
Classification is used for to detect different kinds of patterns from the data-set. Although, the
classification techniques are very much successful in solving real life problems but are not …

[HTML][HTML] New characterizations of some families of fuzzy implication functions and their intersections. Applications to subgroup discovery

RF Peralta - 2023 - dialnet.unirioja.es
Las funciones de implicación borrosas son uno de los operadores primordiales de la lógica
borrosa, en la cual generalizan el concepto de la implicación clásica del conjunto {0, 1} al …