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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

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No
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Top 10%
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Top 10%
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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
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OpenCitations Citation Count
22

Source

Evolutionary Intelligence

Volume

17

Issue

1

Start Page

559

End Page

575
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CrossRef : 7

Scopus : 20

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Mendeley Readers : 2

SCOPUS™ Citations

21

checked on Feb 23, 2026

Web of Science™ Citations

23

checked on Feb 23, 2026

Page Views

4

checked on Feb 23, 2026

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17.87965766

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