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

• Autorzy: Shekhovtsov Andrii , Więckowski Jakub , Kizielewicz Bartłomiej , Sałabun Wojciech

Identyfikatory

DOI

10.15439/2021F44

• 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.

Słowa kluczowe

EN

decision making; matrix algebra; characteristic objects method

PL

podejmowanie decyzji; algebra macierzy; metoda obiektów charakterystycznych

• Wydawca: Polskie Towarzystwo Informatyczne
• Czasopismo: Annals of Computer Science and Information Systems
• Rocznik: 2021
• Tom: Vol. 25
• Strony: 453--457
• Opis fizyczny: Bibliogr. 41 poz., rys., wykr.

Twórcy

autor

Shekhovtsov Andrii

• 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

autor

Więckowski Jakub

• 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

autor

Kizielewicz Bartłomiej

• 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

autor

Sałabun Wojciech

• 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

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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