Abstract: Fuzzy rough set theory has made significant strides in the field of feature selection. However, it still faces challenges when dealing with noisy data. Most traditional models fail to ...

Nevertheless, it's still possible to run into some familiar problems with the latest tech, including unintentionally blurry ...

Abstract: Deep learning has made remarkable achievements in many fields. However, although fuzzy neural networks with natural interpretability are widely used in prediction and control scenarios, ...

Travis Kelce’s mom, Donna Kelce, is in for an exciting year ahead, from the highly anticipated wedding of the Kansas City Chiefs star to Taylor Swift to her upcoming appearance on The Traitors. At 73, ...

ABSTRACT: Fuzzy set theory, an extension of classical set theory, provides a mathematical framework for handling uncertainty and imprecision. This paper provides some key properties of fuzzy sets, ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. Conventional reservoir flow field characterization methods are ...

The fuzzy-theory library provides a PyTorch interface to fuzzy set theory and fuzzy logic operations. It uses minimal dependencies to implement these features and is designed to be easy to use and ...

ABSTRACT: The concepts of connectedness play a critical role in digital picture segmentation and analyses. However, the crisp nature of set theory imposes hard boundaries that restrict the extension ...