A fuzzy numerical solution of a one-dimensional steady-state heat conduction problem with a constant gradient

Fuzzy differential equations have been gaining popularity in recent years. Traditional heat transfer models often rely on precise input parameters; however, real-world scenarios frequently involve uncertainty and imprecision. With advancements in mathematical modeling, the heat transfer increasingly used to address real-world problems. This paper presents a one-dimensional steady-state fuzzy heat transfer problem. To solve this problem, the fuzzy Runge–Kutta Cash–Karp of the fourth–order method is employed, demonstrating its effectiveness. The results are then compared to analytical solutions, revealing that the approximate solutions closely align with the analytical ones.

Authors

Publication Details

Journal
Mathematical Modeling and Computing
Published
2025-01-01
DOI
https://doi.org/10.23939/mmc2025.03.739
Primary Topic
Fuzzy Systems and Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

A fuzzy numerical solution of a one-dimensional steady-state heat conduction problem with a constant gradient

Muhammad Zaini Ahmad, Noor Hafizah Abdul Aziz, Wan Suhana Wan Daud, Nurain Zulaikha Husin et al.
Mathematical Modeling and Computing
Fuzzy Systems and Optimization
article

A fuzzy numerical solution of a one-dimensional steady-state heat conduction problem with a constant gradient

Muhammad Zaini Ahmad, Noor Hafizah Abdul Aziz, Wan Suhana Wan Daud, Nurain Zulaikha Husin, H. M. Nor
article en

Abstract

Fuzzy differential equations have been gaining popularity in recent years. Traditional heat transfer models often rely on precise input parameters; however, real-world scenarios frequently involve uncertainty and imprecision. With advancements in mathematical modeling, the heat transfer increasingly used to address real-world problems. This paper presents a one-dimensional steady-state fuzzy heat transfer problem. To solve this problem, the fuzzy Runge–Kutta Cash–Karp of the fourth–order method is employed, demonstrating its effectiveness. The results are then compared to analytical solutions, revealing that the approximate solutions closely align with the analytical ones.

Mathematical Modeling and ComputingVol. 12(3)
Lviv Polytechnic National University
Openalex Percentile: Top 84%
Fuzzy Systems and Optimization
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A fuzzy numerical solution of a one-dimensional steady-state heat conduction problem with a constant gradient — Muhammad Zaini Ahmad, Noor Hafizah Abdul Aziz, et al. · Mathematical Modeling and Computing (2025) | TGRS Research Map | TGRS