BGRF: A broad granular random forest algorithm
X Fu, Y Chen, J Yan, Y Chen… - Journal of Intelligent & …, 2023 - content.iospress.com
The random forest is a combined classification method belonging to ensemble learning. The
random forest is also an important machine learning algorithm. The random forest is …
random forest is also an important machine learning algorithm. The random forest is …
Certain models of granular computing based on rough fuzzy approximations
M Akram, A Luqman… - Journal of Intelligent & …, 2020 - content.iospress.com
An extraction of granular structures using graphs is a powerful mathematical framework in
human reasoning and problem solving. The visual representation of a graph and the merits …
human reasoning and problem solving. The visual representation of a graph and the merits …
[PDF][PDF] A new approach to the study of fixed points based on soft rough covering graphs
Mathematical approaches to structure model problems have a significant role in expanding
our knowledge in our routine life circumstances. To put them into practice, the right …
our knowledge in our routine life circumstances. To put them into practice, the right …
Certain types of fuzzy soft β-covering based fuzzy rough sets with application to decision-making
The aim of this paper is to introduce and study different kinds of fuzzy soft β-neighborhoods
called fuzzy soft β-adhesion neighborhoods and to analyze some of their properties. Further …
called fuzzy soft β-adhesion neighborhoods and to analyze some of their properties. Further …
Uncover the reasons for performance differences between measurement functions (Provably)
Recently, an exciting experimental conclusion in Li et al.(Knowl Inf Syst 62 (2): 611–637,)
about measures of uncertainty for knowledge bases has attracted great research interest for …
about measures of uncertainty for knowledge bases has attracted great research interest for …
A study of fixed point sets based on Z-soft rough covering models
Z-soft rough covering models are important generalizations of classical rough set theory to
deal with uncertain, inexact and more complex real world problems. So far, the existing …
deal with uncertain, inexact and more complex real world problems. So far, the existing …