An analytical study of Pythagorean fuzzy fractional wave equation using multivariate Pythagorean fuzzy fourier transform under generalized Hukuhara Caputo fractional differentiability

被引:2
作者
Akram, Muhammad [1 ]
Yousuf, Muhammad [1 ]
Allahviranloo, Tofigh [2 ]
机构
[1] Univ Punjab, Dept Math, New Campus, Lahore, Pakistan
[2] Istinye Univ, Fac Engn & Nat Sci, Istanbul, Turkiye
关键词
Generalized Hukuhara differentiability; Generalized Hukuhara Caputo fractional differentiability; Multivariate Pythagorean fuzzy function; Wave equation; Fourier transform; VALUED FUNCTIONS; DECISION-MAKING; INTERVAL;
D O I
10.1007/s41066-023-00440-8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Pythagorean fuzzy fractional calculus provides a strong framework for modeling and analyzing complicated systems with uncertainty and indeterminacy. The primary focus of this article is to investigate the analytical solution of the Pythagorean fuzzy fractional wave equation using multivariate Pythagorean fuzzy Fourier transform under generalized Hukuhara Caputo fractional differentiability. To this end, we first establish generalized Hukuhara Caputo fractional differentiability in the context of multivariate Pythagorean fuzzy-valued functions and then we present some results of multivariate Pythagorean generalized Hukuhara Caputo fractional differentiability and generalized Hukuhara integrability. We present the concept of multivariate Pythagorean fuzzy Fourier transform and give some results for Pythagorean fuzzy Fourier transforms of second-order generalized Hukuhara partial differentiability. Finally, we provide a practical application of the Pythagorean fuzzy fractional wave equation to visco-elastic materials including polymers and biological tissues. Their graphs are analyzed to visualize and support the theoretical findings.
引用
收藏
页数:29
相关论文
共 55 条
[1]   On the concept of solution for fractional differential equations with uncertainty [J].
Agarwal, Ravi P. ;
Lakshmikantham, V. ;
Nieto, Juan J. .
NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS, 2010, 72 (06) :2859-2862
[2]   Solution method for fifth-order fuzzy initial value problem [J].
Akram, Muhammad ;
Yousuf, Muhammad ;
Bilal, Muhammad .
GRANULAR COMPUTING, 2023, 8 (06) :1229-1252
[3]   Solution of the Pythagorean fuzzy wave equation with Pythagorean fuzzy Fourier sine transform [J].
Akram, Muhammad ;
Yousuf, Muhammad ;
Allahviranloo, Tofigh .
GRANULAR COMPUTING, 2023, 8 (06) :1149-1171
[4]   Analytical solution of the Atangana-Baleanu-Caputo fractional differential equations using Pythagorean fuzzy sets [J].
Akram, Muhammad ;
Muhammad, Ghulam ;
Ahmad, Daud .
GRANULAR COMPUTING, 2023, 8 (04) :667-687
[5]   Analysis of incommensurate multi-order fuzzy fractional differential equations under strongly generalized fuzzy Caputo's differentiability [J].
Akram, Muhammad ;
Muhammad, Ghulam .
GRANULAR COMPUTING, 2023, 8 (04) :809-825
[6]   A solving method for two-dimensional homogeneous system of fuzzy fractional di fferential equations [J].
Akram, Muhammad ;
Muhammad, Ghulam ;
Allahviranloo, Tofigh ;
Ali, Ghada .
AIMS MATHEMATICS, 2023, 8 (01) :228-263
[7]   Solving Pythagorean fuzzy partial fractional diffusion model using the Laplace and Fourier transforms [J].
Akram, Muhammad ;
Ihsan, Tayyaba .
GRANULAR COMPUTING, 2023, 8 (04) :689-707
[8]   Solving Pythagorean fuzzy fractional differential equations using Laplace transform [J].
Akram, Muhammad ;
Ihsan, Tayyaba ;
Allahviranloo, Tofigh .
GRANULAR COMPUTING, 2023, 8 (03) :551-575
[9]   An efficient numerical method for solving m-polar fuzzy initial value problems [J].
Akram, Muhammad ;
Saqib, Muhammad ;
Bashir, Shahida ;
Allahviranloo, Tofigh .
COMPUTATIONAL & APPLIED MATHEMATICS, 2022, 41 (04)
[10]   Bipolar fuzzy linear system of equations [J].
Akram, Muhammad ;
Muhammad, Ghulam ;
Allahviranloo, Tofigh .
COMPUTATIONAL & APPLIED MATHEMATICS, 2019, 38 (02)