This study provides a proof that the limit of a distance-based inconsistency reduction process is a matrix induced by the vector of geometric means of rows when a distance-based inconsistent pairwise comparisons matrix is transformed into a consistent PC matrix by stepwise inconsistency reduction in triads. The distance-based inconsistency indicator was defined by Koczkodaj (1993) for pairwise comparisons. Its convergence was analyzed in 1996 (regretfully, with an incomplete proof) and finally completed in 2010. However, there was no interpretation provided for the limit of convergence despite its considerable importance. This study also demonstrates that the vector of geometric means and the right principal eigenvector are linearly indepen...
AbstractThis paper presents an algorithm for computing a consistent approximation to a generalized p...
The pairwise comparison (PC) matrix is often used to manifest human judgments, and it has been succe...
<p>The behavioral distance between pairs of tasks follows a simple rule: darker the square, smaller ...
Abstract A formal proof of convergence of a class of algorithms for reducing inconsistency of pairwi...
A distance-based inconsistency indicator, defined by the third author for the consistency-driven pai...
The distance-based inconsistency indicator, defined by Koczkodaj for the consistency-driven pairwise...
We investigate an application of a mathematically robust minimization method -- the gradient method ...
Pairwise comparisons have been a long standing technique for comparing alternatives/criteria and the...
AbstractThis paper studies the properties of an inconsistency index of a pairwise comparison matrix ...
Abstract In the analytic hierarchy process (AHP), the consistency of pairwise comparison is measured...
AbstractThe method of pairwise comparisons is widely applied in the decision making process. The inc...
There is a theory which meets a prescription of the efficient and effective multicriteria decision m...
International audienceSatisfying consistency requirements of pairwise comparison matrix (PCM) is a c...
We study properties of weight extraction methods for pairwise comparison matrices that minimize suit...
This is a follow up to ”Solution of the least squares method problem of pairwise comparisons matrix”...
AbstractThis paper presents an algorithm for computing a consistent approximation to a generalized p...
The pairwise comparison (PC) matrix is often used to manifest human judgments, and it has been succe...
<p>The behavioral distance between pairs of tasks follows a simple rule: darker the square, smaller ...
Abstract A formal proof of convergence of a class of algorithms for reducing inconsistency of pairwi...
A distance-based inconsistency indicator, defined by the third author for the consistency-driven pai...
The distance-based inconsistency indicator, defined by Koczkodaj for the consistency-driven pairwise...
We investigate an application of a mathematically robust minimization method -- the gradient method ...
Pairwise comparisons have been a long standing technique for comparing alternatives/criteria and the...
AbstractThis paper studies the properties of an inconsistency index of a pairwise comparison matrix ...
Abstract In the analytic hierarchy process (AHP), the consistency of pairwise comparison is measured...
AbstractThe method of pairwise comparisons is widely applied in the decision making process. The inc...
There is a theory which meets a prescription of the efficient and effective multicriteria decision m...
International audienceSatisfying consistency requirements of pairwise comparison matrix (PCM) is a c...
We study properties of weight extraction methods for pairwise comparison matrices that minimize suit...
This is a follow up to ”Solution of the least squares method problem of pairwise comparisons matrix”...
AbstractThis paper presents an algorithm for computing a consistent approximation to a generalized p...
The pairwise comparison (PC) matrix is often used to manifest human judgments, and it has been succe...
<p>The behavioral distance between pairs of tasks follows a simple rule: darker the square, smaller ...