The correct answer is $\boxed{1}$.
The eigenvalues of the matrix $\left[ {\begin{array}{{20}{c}} 1&2 \ 0&2 \end{array}} \right]$ are $1$ and $2$. The eigenvectors corresponding to the eigenvalues $1$ and $2$ are $\left[ {\begin{array}{{20}{c}} 1 \ 0 \end{array}} \right]$ and $\left[ {\begin{array}{*{20}{c}} 0 \ 1 \end{array}} \right]$, respectively. Therefore, the value of $(a+b)$ is $1+1=\boxed{2}$.
Here is a more detailed explanation of each option:
- Option A: $0$. This is not possible because the eigenvectors of a matrix are always nonzero vectors.
- Option B: $\frac{1}{2}$. This is also not possible because the eigenvectors of a matrix are always orthogonal to each other, and the vectors $\left[ {\begin{array}{{20}{c}} 1 \ 0 \end{array}} \right]$ and $\left[ {\begin{array}{{20}{c}} 0 \ 1 \end{array}} \right]$ are not orthogonal.
- Option C: $1$. This is the correct answer. As explained above, the eigenvectors of the matrix $\left[ {\begin{array}{{20}{c}} 1&2 \ 0&2 \end{array}} \right]$ are $\left[ {\begin{array}{{20}{c}} 1 \ 0 \end{array}} \right]$ and $\left[ {\begin{array}{*{20}{c}} 0 \ 1 \end{array}} \right]$. Therefore, the value of $(a+b)$ is $1+1=\boxed{2}$.
- Option D: $2$. This is also not possible because the eigenvectors of a matrix are always linearly independent, and the vectors $\left[ {\begin{array}{{20}{c}} 1 \ 0 \end{array}} \right]$ and $\left[ {\begin{array}{{20}{c}} 0 \ 1 \end{array}} \right]$ are linearly dependent.