How they are related to continuity for example?
As stated in the comments continuity of a function $\mu$ can be interpreted as a property that allows for the calculation
$$\mu(\lim_{j \to \infty} E_j) = \lim_{j \to \infty}\mu(E_j).\tag{1}$$
$\mu$ is a measure, i.e. it is a mapping into a field of numbers, therefore the right-hand side of (1) makes sense (if the sequence converges).
Convergence for a sequence $(E_j)_{j \in \mathbb{N}}$ of sets
We want to give a meaning to the expression $\lim_{j \to \infty} E_j$. One way, would be to define a topology on a suitable collection of sets that includes the sets $(E_j)$ and check, whether convergence in this topological space implies (1).
A more pragmatical approach is the following
Definition (limes superior, limes inferior and limit).
Let $(E_j)_{j \in \mathbb{N}}$ a sequence of subsets of $X$. Then we call
$$
\limsup_{j \to \infty} E_j := \bigcap_{j = 1}^\infty \; \bigcup_{j = k}^\infty A_j
$$
and
$$
\liminf_{j \to \infty} E_j := \bigcup_{j = 1}^\infty \; \bigcap_{j = k}^\infty A_j
$$
the limes superior and limes inferior of $(E_j)$, respectively.
If $\limsup_{j \to \infty} E_j = \liminf_{j \to \infty} E_j$, we say that $(E_j)$ converges and define the limit
$$
\lim_{j \to \infty} E_j := \limsup_{j \to \infty} E_j = \liminf_{j \to \infty} E_j.
$$
Definition and Lemma (increasing and decreasing sequences).
Let $(E_j)_{j \in \mathbb{N}}$ a sequence of subsets of $X$.
If $E_j \subset E_{j + 1}$ for all $j \in \mathbb{N}$ we call the sequence $(E_j)$ increasing. Every increasing sequence converges with limit
$$
\lim_{j \to \infty} E_j = \bigcup_{j =1}^\infty E_j.
$$
If $E_j \supset E_{j + 1}$ for all $j \in \mathbb{N}$ we call the sequence $(E_j)$ decreasing. Every decreasing sequence converges with limit
$$
\lim_{j \to \infty} E_j = \bigcap_{j =1}^\infty E_j.
$$
Interpretation of (1) in the sense of set-convergence
Using the notion of continuity, OP's reference may be read as follows:
Let $(X,\mathcal{M}, \mu)$ be a measure space.
Continuity from below: If $\{E_j\}_1^{\infty} \subset \mathcal{M}$ and $E_1 \subset E_2 \subset \cdots$, then $\mu(\lim_{j \to \infty} E_j) = \lim_{j \to \infty} \mu(E_j)$
Similarly,
Continuity from above: If $\{E_j\}_1^{\infty} \subset \mathcal{M}$, $E_1 \supset E_2 \supset \cdots$ and $\mu(E_1) < \infty$. Then $\mu(\lim_{j \to \infty} E_j) = \lim_{j \to \infty} \mu(E_j)$