Bilgilendirme: Sürüm Güncellemesi ve versiyon yükseltmesi nedeniyle, geçici süreyle zaman zaman kesintiler yaşanabilir ve veri içeriğinde değişkenlikler gözlemlenebilir. Göstereceğiniz anlayış için teşekkür ederiz.
 

New Fractional Signal Smoothing Equations With Short Memory and Variable Order

No Thumbnail Available

Date

2020

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier Gmbh

Open Access Color

OpenAIRE Downloads

OpenAIRE Views

Research Projects

Journal Issue

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

Turkish CoHE Thesis Center URL

Fields of Science

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 Logo
OpenCitations Citation Count
58

Source

Volume

218

Issue

Start Page

End Page

PlumX Metrics
Citations

CrossRef : 62

Scopus : 70

Captures

Mendeley Readers : 9

Google Scholar Logo
Google Scholar™
OpenAlex Logo
OpenAlex FWCI
2.02906482

Sustainable Development Goals