  Let $\{Y_i,-\infty<i<\infty\}$ be a doubly infinite sequence of identically
distributed, negatively dependent random variables under sub-linear
expectations, $\{a_i,-\infty<i<\infty\}$ be an absolutely summable sequence of
real numbers. In this article, we study complete convergence and
Marcinkiewicz-Zygmund strog law of large numbers for the partial sums of moving
average processes $\{X_n=\sum_{i=-\infty}^{\infty}a_{i}Y_{i+n},n\ge 1\}$ based
on the sequence $\{Y_i,-\infty<i<\infty\}$ of identically distributed,
negatively dependent random variables under sub-linear expectations,
complementing the result of [Chen, et al., 2009. Limiting behaviour of moving
average processes under $\varphi$-mixing assumption. Statist. Probab. Lett. 79,
105-111].
