On a minimum violations ranking of a tournament
Management Science
Generating consensus priority point vectors: a logarithmic goal programming approach
Computers and Operations Research
A common framework for deriving preference values from pairwise comparison matrices
Computers and Operations Research
Combining different prioritization methods in the analytic hierarchy process synthesis
Computers and Operations Research
Computers and Operations Research
Data envelopment analysis for weight derivation and aggregation in the analytic hierarchy process
Computers and Operations Research
Ordinal data AHP analysis: A proposed coefficient of consistency and a nonparametric test
Mathematical and Computer Modelling: An International Journal
The QoS-based MCDM system for SaaS ERP applications with Social Network
The Journal of Supercomputing
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Determining the most suitable prioritization method for pairwise comparisons remains an open problem. This paper proposes a method based on the generation of all possible preferences from a set of judgments in pairwise comparisons. A concept of pivotal combination is introduced using a graph-theoretic approach. A set of preferences is generated by enumerating all spanning trees. The mean of these preferences is proposed as a final priority vector, and variance gives a measure of inconsistency. The proposed method provides a way of ordering objects according to a voting scheme. The proposed method is also applicable to incomplete sets of pairwise comparisons without modification, unlike other popular methods which require intermediate steps to estimate missing judgments.