First hitting time about solution for an uncertain fractional differential equation and application to an uncertain risk index model
Ting Jin and
Yuanguo Zhu
Chaos, Solitons & Fractals, 2020, vol. 137, issue C
Abstract:
Uncertain fractional differential equation with memory and hereditary characteristics is a useful way to better model the uncertain dynamic system. Firstly, the solution of an uncertain fractional differential equation with the Caputo type is considered and uncertain distributions of their first hitting time is investigated. On the basis of the α-path, two different first hitting time theorems for uncertain distributions are proposed. Secondly, by the predictor-corrector method, the numerical method is designed. A nonlinear example is provided for validating the availability of the proposed algorithm. Then, as an application of the first hitting time, a novel uncertain risk index model is presented and a formula of risk index under our model is derived accordingly. Lastly, the numerical algorithm of risk index is designed and numerical calculations for the risk index are illustrated with regard to different parameters.
Keywords: Fractional differential equation; Uncertainty distribution; First hitting time; Risk index; Predictor-corrector method (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077920302368
Full text for ScienceDirect subscribers only
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:eee:chsofr:v:137:y:2020:i:c:s0960077920302368
DOI: 10.1016/j.chaos.2020.109836
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().