Analysis of Second-Order Linear Fuzzy Differential Equation Under an Innovative Fuzzy Derivative Approach and Its Application
| dc.authorscopusid | 57196920954 | |
| dc.authorscopusid | 59384410000 | |
| dc.authorscopusid | 23028598900 | |
| dc.authorscopusid | 57004332200 | |
| dc.contributor.author | Rangarajan, K. | |
| dc.contributor.author | Singh, P. | |
| dc.contributor.author | Salahshour, S. | |
| dc.contributor.author | Mondal, S.P. | |
| dc.date.accessioned | 2024-11-15T19:39:36Z | |
| dc.date.available | 2024-11-15T19:39:36Z | |
| dc.date.issued | 2024 | |
| dc.department | Okan University | en_US |
| dc.department-temp | Rangarajan K., Department of Mathematics, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamilnadu, Chennai, 602105, India; Singh P., Department of Applied Sciences and Humanities, PIET, Parul University, Gujarat, Vadodara, 391760, India; Salahshour S., Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey, Faculty of Engineering and Natural Sciences, Bahcesehir University, Istanbul, Turkey; Mondal S.P., Department of Applied Mathematics, Maulana Abul Kalam Azad University of Technology West Bengal, WestBengal, Haringhata, 741249, India | en_US |
| dc.description.abstract | Fuzzy derivatives are a concept based on fuzzy calculus, which extends classical calculus to handle uncertainty and vagueness, habitually represented using fuzzy sets or fuzzy numbers. In fuzzy calculus, the derivative incorporates fuzziness, meaning both the input and output can have imprecise or uncertain values. In this paper, the step size is also considered as a fuzzy number. The impact of fuzziness in step size is studied here for first- and second-order fuzzy derivatives. Under this proposed derivative, differentiation of fuzzy exponential function is estimated. The concept is applied for solving second-order linear fuzzy differential equation. The proposed approaches are applied to spring mass system dynamics in fuzzy environment. Lastly, numerical illustrations on second-order fuzzy differential equations are shown using analytical technique and graphically the results are displayed. © World Scientific Publishing Company. | en_US |
| dc.identifier.citationcount | 0 | |
| dc.identifier.doi | 10.1142/S1752890924500223 | |
| dc.identifier.issn | 1752-8909 | |
| dc.identifier.scopus | 2-s2.0-85207453232 | |
| dc.identifier.scopusquality | Q4 | |
| dc.identifier.uri | https://doi.org/10.1142/S1752890924500223 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14517/7014 | |
| dc.institutionauthor | Salahshour, Soheıl | |
| dc.language.iso | en | |
| dc.publisher | World Scientific | en_US |
| dc.relation.ispartof | Journal of Uncertain Systems | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.scopus.citedbyCount | 0 | |
| dc.subject | fuzzy step size | en_US |
| dc.subject | Generalized Hukuhara derivative | en_US |
| dc.subject | second-order fuzzy differential equations | en_US |
| dc.title | Analysis of Second-Order Linear Fuzzy Differential Equation Under an Innovative Fuzzy Derivative Approach and Its Application | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication |