MCDM'12 - paper no. 1


 

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ALGORITHM FOR DERIVING PRIORITIES FROM INCONSISTENT PAIRWISE COMPARISON MATRICES

Marcin Anholcer

Abstract:

In several multiobjective decision problems Pairwise Comparison Matrices (PCM) are applied to evaluate the decision variants. The problem that arises very often is inconsistence of given PCM. In such a situation it is important to approximate the PCM with a consistent one. The most common way is to minimize the Euclidean distance between the matrices. In the paper we consider minimization of the maximum distance.

Keywords:

Heuristics, nonlinear programming, decision making, pairwise comparison.

Reference index:

Marcin Anholcer, (2012), ALGORITHM FOR DERIVING PRIORITIES FROM INCONSISTENT PAIRWISE COMPARISON MATRICES, Multiple Criteria Decision Making (7), pp. 9-17

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Scopus citations in 2 paper(s):
  1. Anholcer, M., & Fülöp, J. (2019). Deriving priorities from inconsistent PCM using network algorithms. Annals of Operations Research, 274(1-2), 57-74. doi:10.1007/s10479-018-2888-x
  2. Zhang, H., Sekhari, A., Ouzrout, Y., & Bouras, A. (2014). Optimal inconsistency repairing of pairwise comparison matrices using integrated linear programming and eigenvector methods. Mathematical Problems in Engineering, 2014 doi:10.1155/2014/989726