Step 1: Recall the concept of pairwise comparison matrix.
A pairwise comparison matrix is used when criteria or alternatives are compared two at a time using relative importance scales (for example, Saaty's 1–9 scale). Such a matrix is positive, reciprocal, and diagonal entries are equal to 1.
Step 2: Method that uses this.
The Analytical Hierarchy Process (AHP) directly employs pairwise comparison matrices to determine weights of decision criteria. By finding the principal eigenvector of the matrix, AHP derives relative weights of the criteria.
Step 3: Why not the others?
- (B) Exploratory factor analysis works on correlation matrices, not pairwise comparison matrices.
- (C) Latent class analysis is a clustering method, no pairwise judgments.
- (D) Multiple linear regression estimates coefficients from data, not subjective comparisons.
Step 4: Final conclusion.
Only AHP matches the requirement.
\[
\boxed{(A) \; \text{Analytical hierarchy process}}
\]
% Quicktip
Identify the option that has the most appropriate sequence such that a coherent paragraph is formed:
Statement:
P. At once, without thinking much, people rushed towards the city in hordes with the sole aim of grabbing as much gold as they could.
Q. However, little did they realize about the impending hardships they would have to face on their way to the city: miles of mud, unfriendly forests, hungry beasts, and inimical local lords—all of which would reduce their chances of getting gold to almost zero.
R. All of them thought that easily they could lay their hands on gold and become wealthy overnight.
S. About a hundred years ago, the news that gold had been discovered in Kolar spread like wildfire and the whole State was in raptures.
Fish : Shoal :: Lion : _________
Select the correct option to complete the analogy.
P and Q play chess frequently against each other. Of these matches, P has won 80% of the matches, drawn 15% of the matches, and lost 5% of the matches.
If they play 3 more matches, what is the probability of P winning exactly 2 of these 3 matches?