Numerical Solution of a New Mathematical Model for Intravenous Drug Administration
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Heidelberg
Open Access Color
HYBRID
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
Abstract
We develop and analyze a new mathematical model for intravenous drug administration and the associated diffusion process. We use interval analysis to obtain a system of weakly singular Volterra integral equations over ordinary functions. We then use the operational method based on Chebyshev polynomials for obtaining an approximate solution of the numerical form. We show that for a certain class of fuzzy number valued functions, their generalized Hukuhara derivatives can be reduced to the derivatives of ordinary real-valued functions. By using our approach, we are able to estimate numerical solutions very accurately.
Description
Perfilieva, Irina/0000-0003-1531-1111; Alijani, Zahra/0000-0002-1448-9068
Keywords
Differential Equation, Chebyshev Polynomials, Fractional-Fuzzy Differential Equations, Dynamic Of The Bromsulphthalein, Concentration Of Drug In The Arterial Tissue, Statistics and Probability, Artificial intelligence, Class (philosophy), Interval (graph theory), Applied Mathematics, Fuzzy Differential Equations and Uncertainty Modeling, Stability of Functional Equations in Mathematical Analysis, Applied mathematics, Computer science, Mathematical analysis, Fuzzy Differential Equations, Combinatorics, Modeling and Simulation, Physical Sciences, FOS: Mathematics, Chebyshev filter, Computer vision, Mathematics, Anomalous Diffusion Modeling and Analysis, Numerical analysis
Fields of Science
02 engineering and technology, 01 natural sciences, 0202 electrical engineering, electronic engineering, information engineering, 0101 mathematics
Citation
Alijani, Zahra;...et.al. (2023). "Numerical solution of a new mathematical model for intravenous drug administration", Evolutionary Intelligence.
WoS Q
Q3
Scopus Q
Q2

OpenCitations Citation Count
22
Source
Evolutionary Intelligence
Volume
17
Issue
1
Start Page
559
End Page
575
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Citations
CrossRef : 7
Scopus : 20
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Mendeley Readers : 2
SCOPUS™ Citations
21
checked on Feb 23, 2026
Web of Science™ Citations
23
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Page Views
4
checked on Feb 23, 2026
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