Fuzzy Sumudu decomposition method for solving differential equations with uncertainty

Autor: Norazrizal Aswad Abdul Rahman
Rok vydání: 2019
Předmět:
Zdroj: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICAL SCIENCES AND TECHNOLOGY 2018 (MATHTECH2018): Innovative Technologies for Mathematics & Mathematics for Technological Innovation.
ISSN: 0094-243X
DOI: 10.1063/1.5136474
Popis: In this paper, fuzzy Sumudu decomposition method (FSDM) is introduced for handling differential equations with uncertainty, where the differential equations are interpreted under the concept of strongly generalized differentiability. Under this type of interpretation, two cases of differentiability are considered. Solutions in terms of infinite series are produced using FSDM, converging to the accurate solutions of the problems considered. Finally, several numerical examples are demonstrated to illustrate the effectiveness and capability of FSDM.
Databáze: OpenAIRE