Study of Fuzzy Fractional Nonlinear Equal Width Equation in the Sense of Novel Operator
Author(s) -
Muhammad Naeem,
Ahmed A. Khammash,
Ibrahim Mahariq,
Ghaylen Laouini,
Jeevan Kafle
Publication year - 2021
Publication title -
journal of function spaces
Language(s) - English
Resource type - Journals
eISSN - 2314-8896
pISSN - 2314-8888
DOI - 10.1155/2021/8387044
Subject(s) - mathematics , laplace transform , fuzzy logic , nonlinear system , convergence (economics) , operator (biology) , fractional calculus , range (aeronautics) , series (stratigraphy) , integer (computer science) , mathematical optimization , fuzzy number , mathematical analysis , fuzzy set , computer science , artificial intelligence , materials science , repressor , economic growth , chemistry , composite material , biology , paleontology , biochemistry , quantum mechanics , transcription factor , programming language , physics , economics , gene
In this paper, we designed an algorithm by applying the Laplace transform to calculate some approximate solutions for fuzzy fractional-order nonlinear equal width equations in the sense of Atangana-Baleanu-Caputo derivatives. By analyzing the fuzzy theory, the suggested technique helps the solution of the fuzzy nonlinear equal width equations be investigated as a series of expressions in which the components can be effectively recognised and produce a pair of numerical results with the uncertainty parameters. Several numerical examples are analyzed to validate convergence outcomes for the given problem to show the proposed method’s utility and capability. The simulation outcomes reveal that the fuzzy iterative transform method is an effective method for accurately and precisely studying the behavior of suggested problems. We test the developed algorithm by three different problems. The analytical analysis provided that the results of the models converge to their actual solutions at the integer-order. Furthermore, we find that the fractional derivative produces a wide range of fuzzy results.
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