An in-depth examination of the fuzzy fractional cancer tumor model and its numerical solution by implicit finite difference method.

ABSTRACT: The cancer tumor model serves a s a crucial instrument for understanding the behavior of different cancer tumors. Researchers have employed fractional differential equations to describe these models. In the context of time fractional cancer tumor models, there's a need to introduce fuzzy quantities instead of crisp quantities to accommodate the inherent uncertainty and imprecision in this model, giving rise to a formulation known as fuzzy time fractional cancer tumor models. In this study, we have developed an implicit finite difference method to solve a fuzzy time-fractional cancer tumor model. Instead of utilizing classical time derivatives in fuzzy cancer models, we have examined the effect of employing fuzzy time-fractional derivatives. To assess the stability of our proposed model, we

SUBMITTER: Zureigat H 

PROVIDER: S-EPMC11661611 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature