Exam 10: Multi-Criteria Models

Goal constraints have deviation variables and are expressed as equations.

There are two distinct approaches in which Analytical Hierarchy Process problems may be formulated and solved.

Scoring models can be used as an alternative to the Analytic Hierarchy Process to solve problems involving ranking of choices.

Goal programming differs from linear programming in the nature of constraints and the objective function.

Pairwise comparison is the foundation of the scoring models for choosing among alternatives.

In the Analytical Hierarchy Process, assuming 5 criteria, 4 brands, and a weighted sum priority of 5.2, the consistency index will be:

Consistency ratio above 0.10 indicates that the problem has an acceptable level of inconsistency.

Constraints in linear programming may be considered as soft constraints, and the constraints in goal programming may be considered as hard constraints.

In the Analytical Hierarchy Process, random index values decrease as the number of criterion increases.

In scoring models, weighted factor score is just one of the criteria needed to make a final selection from among the decision alternatives.

The Analytical Hierarchy Process answers the question of which alternative to select based on multiple criteria.

In goal programming, hard constraints are satisfied and soft constraints are brought to acceptable levels (satisfying).

Scoring models can be used as an alternative to linear programming models.

While solving goal programming problems using graphical method, deviations from the constraints can be found directly from the graph by reading off the $\mathrm{X}$ and $\mathrm{Y}$ axes.

Using the weighted priority scores, the largest one is chosen as the "best" decision for the decision maker described in the problem.

In the Analytical Hierarchy Process, all except one of the matrices have 1 in their diagonals. Which is the exception?

Which of the following phrases best describes deviation variables in goal programming?

In the Analytical Hierarchy Process, preference scales for pairwise comparisons are given by the decision maker, and the numbers 2 or 4 do not have any ranking (meaning 2 is not necessarily less preferable or more preferable to 4 ).

In the Analytical Hierarchy Process, one multiplies the pairwise comparison matrix by criteria $\%$ to get weighted sum priority vector.

In scoring models, the best choice has the highest weighted factor score, where weights are provided by the decision maker.