Results 261 to 270 of about 7,666,446 (331)

Feature Grouping and Selection With Graph Theory in Robust Fuzzy Rough Approximation Space

IEEE Transactions on Fuzzy Systems, 2023
Most extant feature selection works neglect interactive features in the form of groups, leading to the omission of some important discriminative information. Moreover, the prevalence of data with uncertainty, fuzziness, and noise poses a certain obstacle
Jihong Wan, Hongmei Chen, Tianrui Li, Binbin Sang, Zhong Yuan   +4 more
semanticscholar   +3 more sources

TOPSIS method based on a fuzzy covering approximation space: An application to biological nano-materials selection

Information Sciences, 2019
The applications of nanomaterials in biomedicine have received increasing attentions. Therefore, how to choose the most suitable material among a variety of bio-nanomaterials with similar properties is a significant problem.
Kai Zhang, J. Zhan, Yiyu Yao
semanticscholar   +3 more sources

Covering rough set structures for a locally finite covering approximation space

Information Sciences, 2019
The purpose of this paper is to introduce the notion of locally finite covering approximation (LFC-, for brevity) space (U, C) which is a generalization of a (finite) covering approximation space. Furthermore, for a subset X of the universe U, we develop
Sang-Eon Han
semanticscholar   +3 more sources

Fuzzy rough set on probabilistic approximation space over two universes and its application to emergency decision‐making

Expert Systems, 2015
B. Sun, Weimin Ma, Xiangtang Chen
semanticscholar   +3 more sources

Improved few-shot learning method for transformer fault diagnosis based on approximation space and belief functions

Expert systems with applications, 2020
Incomplete and uncertain information is frequently observed in the data analysis processes, which has become one of main challenges for the development of fault diagnosis techniques of transformers.
Yaoyu Xu, Yuan Li, Yijing Wang, Dexing Zhong, Guanjun Zhang   +4 more
semanticscholar   +1 more source

Minimal structure approximation space and some of its application

Journal of Intelligent & Fuzzy Systems, 2020
Topological concepts play an important role in applications and solving real-life problems. Among of these concepts are neighbourhood and minimal structure. In this paper, we introduce a new space-based on a generalized system with a binary relation on a
M. El-Sharkasy
semanticscholar   +1 more source

Rough approximations in a general approximation space and their fundamental properties

International Journal of General Systems, 2008
B. Davvaz, M. Mahdavipour
semanticscholar   +3 more sources

TOLERANCE APPROXIMATION SPACES

Fundamenta Informaticae, 1996
We generalize the notion of an approximation space introduced in [8]. In tolerance approximation spaces we define the lower and upper set approximations. We investigate some attribute reduction problems for tolerance approximation spaces determined by tolerance information systems. The tolerance relation defined by the so called uncertainty function or
Skowron, Andrzej, Stepaniuk, Jaroslaw
openaire   +2 more sources