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Effect of Criteria Range on the Similarity of Results in the COMET Method

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Identyfikatory
Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
Języki publikacji
EN
Abstrakty
EN
Defining input values in the decision-making process can be done with appropriate methods or based on expert knowledge. It is essential to ensure that the values are adequate for the problem to be solved in both cases. There may be situations where values are overestimated, and it should be checked whether this affects the final results. In this paper, the Characteristic Objects Method (COMET) was used to investigate the overestimation effect on the final rankings. The decision matrixes with a different number of alternatives and criteria were assessed The obtained results were compared using the WS similarity coefficient and Spearman's weighted correlation coefficient. The study showed that overestimation has a significant effect on the rankings. A larger number of criteria has a positive effect on the correlation strength of the compared rankings. In contrast, a large overestimation of characteristic values has a negative effect on the similarity of the results.
Rocznik
Tom
Strony
453--457
Opis fizyczny
Bibliogr. 41 poz., rys., wykr.
Twórcy
  • Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. ̇Żołnierska 49, 71-210 Szczecin, Poland
  • Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. ̇Żołnierska 49, 71-210 Szczecin, Poland
  • Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. ̇Żołnierska 49, 71-210 Szczecin, Poland
  • Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. ̇Żołnierska 49, 71-210 Szczecin, Poland
Bibliografia
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Uwagi
1. The work was supported by the National Science Centre, Decision number UMO-2018/29/B/HS4/02725 (W.S.).
2. Track 3: Advances in Information Systems and Technology
3. Session: 16th Conference on Information Systems Management
4. Short Papers
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-c8fe96b3-c684-4cf4-ab2e-69e190e7fd18
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