New Fractional Signal Smoothing Equations With Short Memory and Variable Order
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Date
2020
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Gmbh
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
In this paper, systems of fuzzy fractional differential equations with a lateral type of the Hukuhara derivative and the generalized Hukuhara derivative are numerically studied. Collocation method on discontinuous piecewise polynomial spaces is proposed. Convergence of the proposed method is analyzed. The superconvergent results on the graded mesh are studied. Examples are provided to support theoretical results. Finally, the effect of uncertainty in a diabetes model and its resulting complications is investigated as a practical application.
Description
Shiri, Babak/0000-0003-2249-282X; Wu, Guo-Cheng/0000-0002-1946-6770
Keywords
Fuzzy Fractional Differential Equations, Dynamical System, Spline Collocation Methods, Hukuhara Derivative, Uncertainty, Diabetes And Its Resulting Complications
Fields of Science
0101 mathematics, 01 natural sciences
Citation
Ma, Chang-You...et al. (2020). "New fractional signal smoothing equations with short memory and variable order", Optik, Vol. 218.
WoS Q
Q2
Scopus Q
Q1

OpenCitations Citation Count
60
Source
Optik
Volume
218
Issue
Start Page
End Page
PlumX Metrics
Citations
CrossRef : 62
Scopus : 68
Captures
Mendeley Readers : 9
SCOPUS™ Citations
71
checked on Feb 24, 2026
Web of Science™ Citations
63
checked on Feb 24, 2026
Page Views
2
checked on Feb 24, 2026
Google Scholar™

OpenAlex FWCI
2.02906482
Sustainable Development Goals
3
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