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Multiple Choice Quiz
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1
Goal programming differs from linear programming in the nature of constraints and the objective function.
A)True
B)False
2
Constraints in linear programming maybe considered as soft constraints and the constraints in goal programming may be considered as hard constraints.
A)True
B)False
3
In goal programming, hard constraints are satisfied and soft constraints are brought to acceptable levels (satisficing).
A)True
B)False
4
Goal constraints have deviation variables and are expressed as equations.
A)True
B)False
5
While solving goal programming problems using graphical method, deviations from the constraints can be found directly from the graph.
A)True
B)False
6
Analytical hierarchy process answers the question of which alternative to select based on multiple criteria.
A)True
B)False
7
In analytical hierarchy process, the normalized pairwise comparison matrix have rows adding up to 1.0.
A)True
B)False
8
In the analytical hierarchy process, one multiplies the pair wise comparison matrix by criteria % to get weighted sum priority vector.
A)True
B)False
9
The primary objective of goal programming is to
A)optimize each goal or objective.
B)minimize all goal deviations.
C)satisfy all constraints (goal and non-goal).
D)satisfy non-goal constraints and satisfice goal constraints
10
In goal programming models
A)Deviation variables appear only in goal constraints.
B)Goal constraints can be expressed as inequalities.
C)Conflicting goals are not allowed.
D)Zero one variables are used to represent goal variations.
11
Which of the following phrases best describes deviation variables in goal programming?
A)The acceptable level of goal achievement
B)The gap between actual achievement and target performance.
C)The variability of resource availability.
D)The difference between maximum and minimum achievement levels of goal achievement.
12
Goal constraints are referred to as "soft" constraints because they
A)are easy to achieve.
B)have no real physical interpretation.
C)are easily satisfied by any solution.
D)are not strict requirements for feasibility.





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