Step 1: Understanding the Question:
We must minimize an objective function $z = x + y$ bounded by several linear inequalities. The key lies in noticing the relationship between the objective function and the constraints.
Step 2: Detailed Explanation:
The objective function to minimize is $z = x + y$.
Look closely at the very first constraint:
$x + y \ge 2$.
Because $x$ and $y$ must physically exist in the feasible region, the lowest possible value that $x + y$ can ever geometrically take within this defined region is exactly 2.
Therefore, the minimum possible value of the objective function $z$ is 2, and this minimum occurs exclusively anywhere on the line segment defined by $x + y = 2$.
However, we must verify if this entire line segment (within the first quadrant $x, y \ge 0$) is actually valid and not blocked by the other constraints.
The segment $x + y = 2$ in the first quadrant runs perfectly from point $(2, 0)$ to point $(0, 2)$.
Let's test both boundary endpoints against the remaining constraints ($x + 2y \le 8$ and $y \le 3$):
1. Test point $(2, 0)$:
$2 + 2(0) = 2 \le 8$ (True)
$0 \le 3$ (True)
2. Test point $(0, 2)$:
$0 + 2(2) = 4 \le 8$ (True)
$2 \le 3$ (True)
Since both endpoints satisfy all constraints, the entire continuous line segment connecting $(2, 0)$ and $(0, 2)$ lies entirely inside the valid feasible region.
Because there are infinitely many points on any given line segment, the minimum value $z = 2$ is attained at an infinite number of points. Furthermore, because a line segment between two coordinates is geometrically finite, it constitutes a bounded set.
Step 3: Final Answer:
The solution is at infinite number of points but bounded set, matching option (c).