In this article, we propose the reproducing kernel Hilbert space method to obtain the exact
and the numerical solutions of fuzzy Fredholm–Volterra integrodifferential equations. The …

In this paper, we investigate the analytic and approximate solutions of second-order, two-
point fuzzy boundary value problems based on the reproducing kernel theory under the …

Modeling of uncertainty differential equations is very important issue in applied sciences and
engineering, while the natural way to model such dynamical systems is to use fuzzy …

Background Recently, transition-metal oxides have represented an exciting research topic,
especially their fundamental and technological aspects. Here, vanadium pentoxide …

The modeling of fuzzy fractional integro-differential equations is a very significant matter in
engineering and applied sciences. This paper presents a novel treatment algorithm based …

The finite-time impulsive control problem is studied for stochastic TS fuzzy systems with
parameter uncertainties. In order to reduce numbers of impulsive control and information …

We study the different solution strategy for solving epidemic model in different imprecise
environment, that is, a Susceptible‐Infected‐Susceptible (SIS) model in imprecise …

Beef production needs certain levels of autonomy to ensure that animal fattening processes
achieve certain sustainability objectives (eg, financial and environmental). For example, it is …

In recent years, the concept of fuzzy set has been incorporated into the field of geometric
function theory, leading to the evolution of the classical concept of differential subordination …

In this paper, we present a novel numerical algorithm to handle system of second-order,
three-point boundary value problems in a favorable reproducing kernel Hilbert space. The …