Pairwise comparison matrices play a prominent role in multiple-criteria decision-making, particularly the analytic hierarchy process (AHP). Another form of preference modeling, called an incomplete pairwise matrix, is considered when one or more elements are missing. In this paper, algorithm proposed for optimal completion matrix. Our intention to numerically minimize maximum eigenvalue functio...

Deriving the weights of criteria from the pairwise comparison matrix with fuzzy elements is investigated. In the proposed method we first convert each element of the fuzzy comparison matrix into the nearest weighted interval approximation one. Then by using the goal programming method we derive the weights of criteria. The presented method is able to find weights of fuzzy pairwise comparison ma...