Input data preprocessing for the MCDM model: COPRAS method case study

Presenter Information

Bartłomiej Kizielewicz, West Pomeranian University of TechnologyFollow
Jakub Więckowski, West Pomeranian University of TechnologyFollow
Andrii Shekhovtsov, West Pomeranian University of TechnologyFollow
Ewa Ziemba, University of Economics in KatowiceFollow
Jarosław Wątróbski, University of SzczecinFollow
Wojciech Sałabun, West Pomeranian University of Technology in SzczecinFollow

Paper Type

ERF

Paper Number

1458

Description

Multi-Criteria Decision-Making (MCDM) methods are widely used in many areas and disciplines. At the same time, they give the strong methodical background of many decision support systems. However, an important and current research issue remains the obtaining reliable results of individual MCDM methods. In this paper, the influence of the used decision matrix normalization method on the obtained rankings is studied on the example of applying the COPRAS method. Five methods are used to normalize matrices of different sizes. The rankings obtained by performing multiple assessments of alternatives are then compared using selected similarity coefficients. The influence of normalization on the final rankings is noticed, which is confirmed by diverse correlations.

Recommended Citation

Kizielewicz, Bartłomiej; Więckowski, Jakub; Shekhovtsov, Andrii; Ziemba, Ewa; Wątróbski, Jarosław; and Sałabun, Wojciech, "Input data preprocessing for the MCDM model: COPRAS method case study" (2021). AMCIS 2021 Proceedings. 11.
https://aisel.aisnet.org/amcis2021/data_science_decision_support/data_science_decision_support/11