New Method for Numerical Solution of Z-Fractional Differential Equations
Parisa Keshavarz (),
Tofigh Allahviranloo,
Farajollah M. Yaghoobi () and
Ali Barahmand ()
Additional contact information
Parisa Keshavarz: Department of Mathematics, Hamedan Branch, Islamic Azad University, Prof. Mousivand Blvd, Imam Khomeini Blvd, Hamedan 6518115743, Iran
Tofigh Allahviranloo: Faculty of Engineering and Natural Sciences, Bahcesehir University, Çırağan Cd., Beshiktash, 34353 Istanbul, Turkey
Farajollah M. Yaghoobi: Department of Mathematics, Hamedan Branch, Islamic Azad University, Prof. Mousivand Blvd, Imam Khomeini Blvd, Hamedan 6518115743, Iran
Ali Barahmand: Department of Mathematics, Hamedan Branch, Islamic Azad University, Prof. Mousivand Blvd, Imam Khomeini Blvd, Hamedan 6518115743, Iran
New Mathematics and Natural Computation (NMNC), 2021, vol. 17, issue 01, 45-61
Abstract:
In this paper, at first, we introduce fractional differential equations with Z-valuation. Then, we propose a numerical method to approximate the solution. The proposed method is a hybrid method based on the corrected fractional Euler’s method and the probability distribution function. Moreover, the corrected fractional Euler’s method based on the generalized Taylor formula and the modified trapezoidal rule is proposed that this method can be used in the problems’ limitation section of the Z-fractional Initial value problem of order α ∈ (0, 1) with the fuzzy Caputo fractional differential (fractional derivatives are defined on the basis of the Hukuhara differences and the generalized fuzzy derivatives). The probability function is based on exponential distribution function and used to represent the reliability of the problem limitation part. Finally, by two examples, we show that the proposed method can arbitrarily approximate the fractional differential equations with Z-valuation.
Keywords: Z-number; fractional differential equations; fraction problem with initial value; Hukuhara differences with fuzzy derivatives of the Caputo type; exponential distribution function (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S1793005721500034
Access to full text is restricted to subscribers
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wsi:nmncxx:v:17:y:2021:i:01:n:s1793005721500034
Ordering information: This journal article can be ordered from
DOI: 10.1142/S1793005721500034
Access Statistics for this article
New Mathematics and Natural Computation (NMNC) is currently edited by Paul P Wang
More articles in New Mathematics and Natural Computation (NMNC) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().