Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 43
Published: Jan. 1, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 33 - 43
Published: Jan. 1, 2024
Language: Английский
Journal of Bionic Engineering, Journal Year: 2023, Volume and Issue: 21(1), P. 374 - 408
Published: Sept. 26, 2023
Language: Английский
Citations
136Knowledge-Based Systems, Journal Year: 2024, Volume and Issue: 295, P. 111850 - 111850
Published: April 22, 2024
Language: Английский
Citations
38Journal of King Saud University - Computer and Information Sciences, Journal Year: 2024, Volume and Issue: 36(1), P. 101904 - 101904
Published: Jan. 1, 2024
Uncertainty and imprecision accompany the world we live in occur almost every event. How to better interpret manage uncertainty play a vital role machine learning (ML). As an effective tool for modeling imperfection, theory of belief functions (TBF) has attracted substantial attention by providing flexible discernment framework effectively representing imprecision. To date, many TBF-based methods have been proposed ML, but they not yet comprehensively summarized. This paper surveys focusing on clustering, classification information fusion. First, provide formal definition reasoning. On this basis, survey existing detail explain how characterize results. What is more, discuss current challenges ML offer insightful perspectives future research regarding only fills critical gap literature also serves as guiding beacon explorations, emphasizing transformative TBF advancing methodologies.
Language: Английский
Citations
24Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14
Published: Jan. 1, 2024
Language: Английский
Citations
17Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 116721 - 116721
Published: Jan. 1, 2025
Language: Английский
Citations
2The Visual Computer, Journal Year: 2024, Volume and Issue: unknown
Published: Jan. 29, 2024
Language: Английский
Citations
17Computer Methods in Applied Mechanics and Engineering, Journal Year: 2024, Volume and Issue: 425, P. 116964 - 116964
Published: April 5, 2024
Language: Английский
Citations
17Neural Computing and Applications, Journal Year: 2024, Volume and Issue: 36(16), P. 8951 - 8975
Published: Feb. 25, 2024
Abstract
Soft
set
theory,
initially
introduced
through
the
seminal
article
“Soft
theory—First
results”
in
1999,
has
gained
considerable
attention
field
of
mathematical
modeling
and
decision-making.
Despite
its
growing
prominence,
a
comprehensive
survey
soft
encompassing
foundational
concepts,
developments,
applications,
is
notably
absent
existing
literature.
We
aim
to
bridge
this
gap.
This
delves
into
basic
elements
including
notion
set,
operations
on
sets,
their
semantic
interpretations.
It
describes
various
generalizations
modifications
such
as
N
-soft
fuzzy
bipolar
highlighting
specific
characteristics.
Furthermore,
work
outlines
fundamentals
extensions
structures
from
perspective
theory.
Particularly,
we
present
results
topology
other
algebraic
algebras
$$\sigma$$
Language: Английский
Citations
13Biomimetics, Journal Year: 2024, Volume and Issue: 9(5), P. 298 - 298
Published: May 17, 2024
In recent years, swarm intelligence optimization methods have been increasingly applied in many fields such as mechanical design, microgrid scheduling, drone technology, neural network training, and multi-objective optimization. this paper, a multi-strategy particle hybrid dandelion algorithm (PSODO) is proposed, which based on the problems of slow speed being easily susceptible to falling into local extremum ability algorithm. This makes whole more diverse by introducing strong global search unique individual update rules (i.e., rising, landing). The ascending descending stages also help introduce changes explorations space, thus better balancing search. experimental results show that compared with other algorithms, proposed PSODO greatly improves optimal value ability, convergence speed. effectiveness feasibility are verified solving 22 benchmark functions three engineering design different complexities CEC 2005 comparing it algorithms.
Language: Английский
Citations
13Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 105 - 115
Published: Jan. 1, 2024
Language: Английский
Citations
12