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Title A criterion of aggregating expert estimations into consensus pairwise comparison matrix by a given comparison scale within the corresponding space of positive inverse-symmetric matrices
 
Names Romanuke, V.V.
Романюк, В.В.
Date Issued 2016 (iso8601)
Abstract An approach of aggregating expert estimations into consensus pairwise comparison matrix is suggested. The
aggregation criterion is minimization of the weighted distance between the consensus pairwise comparison matrix and
pairwise comparison matrices of experts. The matrix distance is Euclidean-based metric in the space of all positive inversesymmetric
matrices whose subset is the space of all pairwise comparison matrices. The consensus is found slightly simpler for
experts with identical competences. Expert estimations are treated consistent if they do not differ badly. For checking
consistency or concordance of expert estimations, two inequalities are controlled. The first inequality addresses maximal
distance among weighted pairwise comparison matrices of experts. The second one addresses maximal difference among
entries of these matrices. For experts with identical competences, the two inequalities are stated simpler, without weighting.
The suggested approach is applicable, regardless the comparison scale, for solving hierarchical multicriteria problems by
finite number of alternatives.
Genre Стаття
Topic expert estimations
Identifier Romanuke, V.V. A criterion of aggregating expert estimations into consensus pairwise comparison matrix by a given comparison scale within the corresponding space of positive inverse-symmetric matrices [Текст] / V. V. Romanuke // Вісник Хмельницького національного університету. Технічні науки. – 2016. – №1. – С. 78-84.