Computing a consistent approximation to a generalized pairwise comparisons matrix
This paper presents an algorithm for computing a consistent approximation to a generalized pairwise comparisons matrix (that is, without the reciprocity property or even Is on the main diagonal). The algorithm is based on a logarithmic transformation of the generalized pairwise comparisons matrix into a linear space with the Euclidean metric. It uses both the row and (reciprocals of) column geometric means and is thus a generalization of the ordinary geometric means method. The resulting approximation is not only consistent, but also closest to the original matrix, i.e., deviates least from an expert's original judgments. The computational complexity of the algorithm is O(n(2)). (C) 1999 Elsevier Science Ltd. All rights reserved.
pairwise comparisons logarithmic transformation linear space approximation algorithm inconsistency