Supporting Decisions by Unleashing Multiple Mindsets Using Pairwise Comparisons Method

Inconsistency in pairwise comparison judgements is often perceived as an unwanted phenomenon and researchers have proposed a number of techniques to either reduce it or correct it. We take viewpoint that this inconsistency unleashes different mindsets the decision maker(s) should be taken into account when generating recommendations support. With aim we consider spanning trees analysis which recently emerging idea for use with approach represents plurality (in terms vectors corresponding trees). Until now, multiplicity supplied by been amalgamated single preference vector, losing information about mindsets. To preserve information, propose novel methodology taking similar Stochastic Multi-criteria Acceptability Analysis. Considering all rankings alternatives mindsets, our gives probability alternative attains given ranking position well preferred another one. Since exponential makes their enumeration prohibitive, computing approximate probabilities using statistical sampling trees. Our also appealing because can applied incomplete sets comparisons. demonstrate its usefulness didactic example application real-life case selecting Telecom backbone infrastructure rural areas.