More and more often, scholars in the field of multi-criteria decision analysis (MCDA) seem to be overly adverse towards inconsistency. While this has some reasonable justifications, hiding the dirt under the rug, by not even trying to let possible inconsistencies emerge, can have negative effects on the decision process. In other words, there may be some merit in having a decision maker being consistent when he is given the possibility of being inconsistent, but there isn’t any in having a fully consistent decision maker when he cannot be inconsistent. In the latter case, consistency of preferences cannot, by all means, be associated to the reliability of judgements. These concepts are illustrated by taking into account some recently introduced methods whose common inspiration is the Best-Worst Method.

Why should not a decision analyst be content with only (n-1) pairwise comparisons? Echoes from the literature / Brunelli, Matteo. - (2023), pp. 33-40. (Intervento presentato al convegno BWM 2022 tenutosi a Delft, The Netherlands nel 9th-10th June 2022) [10.1007/978-3-031-24816-0_3].

Why should not a decision analyst be content with only (n-1) pairwise comparisons? Echoes from the literature

Brunelli, Matteo
2023-01-01

Abstract

More and more often, scholars in the field of multi-criteria decision analysis (MCDA) seem to be overly adverse towards inconsistency. While this has some reasonable justifications, hiding the dirt under the rug, by not even trying to let possible inconsistencies emerge, can have negative effects on the decision process. In other words, there may be some merit in having a decision maker being consistent when he is given the possibility of being inconsistent, but there isn’t any in having a fully consistent decision maker when he cannot be inconsistent. In the latter case, consistency of preferences cannot, by all means, be associated to the reliability of judgements. These concepts are illustrated by taking into account some recently introduced methods whose common inspiration is the Best-Worst Method.
2023
Advances in Best-Worst Method: Proceedings of the Third International Workshop on Best-Worst Method
Cham, Switzerland
Springer
978-3-031-24815-3
978-3-031-24816-0
Brunelli, Matteo
Why should not a decision analyst be content with only (n-1) pairwise comparisons? Echoes from the literature / Brunelli, Matteo. - (2023), pp. 33-40. (Intervento presentato al convegno BWM 2022 tenutosi a Delft, The Netherlands nel 9th-10th June 2022) [10.1007/978-3-031-24816-0_3].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/370711
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