Solving Riccati Fuzzy Differential Equations
F. Karimi,
T. Allahviranloo,
S. M. Pishbin and
S. Abbasbandy
Additional contact information
F. Karimi: Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran
T. Allahviranloo: Department of Mathematics, Science and Research Branch, Islamic Azad University, Tehran, Iran2Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey
S. M. Pishbin: Department of Biomedical, Science and Research Branch, Islamic Azad University, Tehran, Iran
S. Abbasbandy: Department of Mathematics, Imam Khomeini International University, Ghazvin, Iran
New Mathematics and Natural Computation (NMNC), 2021, vol. 17, issue 01, 29-43
Abstract:
In this paper, a method for solving Riccati fuzzy differential equations is studied in great detail. To obtain the solution of Riccati fuzzy differential equations (RFDEs), we study the fuzzy differential equations (FDEs) using the concept of generalized H-differentiability.
Keywords: LR fuzzy number; parametric fuzzy number; Hakuhara-difference; Riccati fuzzy differential equation; generalized H-differentiability (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/S1793005721500022
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:s1793005721500022
Ordering information: This journal article can be ordered from
DOI: 10.1142/S1793005721500022
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 ().