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Journal Article

Multi-criteria decision analysis without consistency in pairwise comparisons

Carpitella Silvia, Inuiguchi M., Kratochvíl Václav, Pištěk Miroslav

: Computers & Industrial Engineering vol.168, 108089

: GA19-06569S, GA ČR

: Decision-Making Theory, Decision Support Systems, Analytic Hierarchy Process, Intransitive Preferences, Skew-symmetric Bi-linear Representation

: 10.1016/j.cie.2022.108089

: http://library.utia.cas.cz/separaty/2022/MTR/pistek-0557718.pdf

: https://www.sciencedirect.com/science/article/pii/S0360835222001590?via%3Dihub

(eng): Life itself is colorful and brings situations where making the right decision is a matter of compromise given the various criteria, often conflicting with each other. To handle such situations, a plethora of mathematical methods supporting decision-making has been developed. A little attention has been paid to cases where either criteria or expert preferences are not transitive by nature. Usually, standard decision-making methods handle such a case as an input error (input inconsistency). Being designed for consistent cases, standard methods may conclude in wrong results. We present a novel framework aimed at dealing with inconsistent preferences, without forcing experts to reconsider their initial judgments thus distorting their spontaneous assessments. A simulation analysis has been led to check the methodological validity of our proposal. Specifically, by setting different consistency ranges, thousands of experiments on simulated matrices confirm that our framework represents a valid alternative to the traditional practice. The applicability of the proposed approach has been eventually demonstrated through a real-world case study focused on supply chain management of a relevant industrial problem.

: AH

: 50204

07.01.2019 - 08:39