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Towards Objectification of Multi-Criteria Assessments: a Comparative Study on MCDA Methods

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Konferencja
Federated Conference on Computer Science and Information Systems (16 ; 02-05.09.2021 ; online)
Języki publikacji
EN
Abstrakty
EN
Objective evaluation in problems considering many, often conflicting criteria is challenging for the decision-maker. This paper presents an approach based on MCDA methods to objectify evaluations in the camera selection problem. The proposed approach includes three MCDA methods, TOPSIS, VIKOR, COMET, and two criterion weighting techniques. Two ranking similarity coefficients were used to compare the resulting rankings of the alternatives: WS and rw. The performed research confirmed the importance of the appropriate selection of multi-criteria decision-making methods for the solved problem and the relevance of comparative analysis in method selection and construction of objective rankings of alternatives.
Rocznik
Tom
Strony
417--425
Opis fizyczny
Bibliogr. 41 poz., tab., wz., wykr.
Twórcy
  • Doctoral School of University of Szczecin, ul. Mickiewicza 16, 70-383 Szczecin, Poland
  • Institute of Management, University of Szczecin, ul. Cukrowa 8, 71-004 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. ̇Zołnierska 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. ̇Zołnierska 49, 71-210 Szczecin, Poland
Bibliografia
  • 1. B. Kizielewicz, J. Wątróbski, and W. Sałabun, “Identification of Relevant Criteria Set in the MCDA Process-Wind Farm Location Case Study,” Energies, vol. 13, no. 24, p. 6548, 2020. http://dx.doi.org/https://doi.org/10.3390/en13246548
  • 2. J. Watróbski, P. Ziemba, and W. Wolski, “MCDA-based decision support system for sustainable management-RES case study,” in 2016 Federated Conference on Computer Science and Information Systems (FedCSIS), Gdansk, Poland, 11-14 September 2016. IEEE, 2016. http://dx.doi.org/https://doi.org/10.15439/2016F489 pp. 1235-1239.
  • 3. C. Beaudrie, C. J. Corbett, T. A. Lewandowski, T. Malloy, and X. Zhou, “Evaluating the Application of Decision Analysis Methods in Simulated Alternatives Assessment Case Studies: Potential Benefits and Challenges of using MCDA,” Integrated Environmental Assessment and Management, vol. 17, no. 1, pp. 27-41, 2021. http://dx.doi.org/https://doi.org/10.1002/ieam.4316
  • 4. A. Karczmarczyk, J. Wątróbski, and J. Jankowski, “Comparative Study of Different MCDA-Based Approaches in Sustainable Supplier Selection Problem,” in Information Technology for Management: Emerging Research and Applications. Springer, 2018. http://dx.doi.org/https://doi.org/10.1007/978-3-030-15154-6_10 pp. 176-193.
  • 5. N. Tsotsolas and S. Alexopoulos, “MCDA Approaches for Efficient Strategic Decision Making,” in Preference Disaggregation in Multiple Criteria Decision Analysis. Springer, 2018. http://dx.doi.org/https://doi.org/10.1007/978-3-319-90599-0_2 pp. 17-58.
  • 6. W. Sałabun, J. Watróbski, and A. Shekhovtsov, “Are MCDA Methods Benchmarkable? A Comparative Study of TOPSIS, VIKOR, COPRAS, and PROMETHEE II Methods,” Symmetry, vol. 12, no. 9, p. 1549, 2020. http://dx.doi.org/https://doi.org/10.3390/sym12091549
  • 7. M. Cinelli, M. Kadziński, M. Gonzalez, and R. Słowiński, “How to support the application of multiple criteria decision analysis? Let us start with a comprehensive taxonomy,” Omega, p. 102261, 2020. http://dx.doi.org/https://doi.org/10.1016/j.omega.2020.102261
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  • 9. J. Wątróbski, J. Jankowski, P. Ziemba, A. Karczmarczyk, and M. Zioło, “Generalised framework for multi-criteria method selection,” Omega, vol. 86, pp. 107-124, 2019. http://dx.doi.org/https://doi.org/10.1016/j.omega.2018.07.004
  • 10. R. K. Dhurkari, “MCGL: a new reference dependent MCDM method,” International Journal of Operational Research, vol. 36, no. 4, pp. 477-495, 2019. http://dx.doi.org/https://doi.org/10.1504/IJOR.2019.104053
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  • 21. P. Fortemps, S. Greco, and R. Słowiński, “Multicriteria choice and ranking using decision rules induced from rough approximation of graded preference relations,” in International Conference on Rough Sets and Current Trends in Computing, Uppsala, Sweden, 1-5 June 2004. Springer, 2004. http://dx.doi.org/https://doi.org/10.1007/978-3-540-25929-9_62 pp. 510-522.
  • 22. W. Sałabun, “The Characteristic Objects Method: A New Distance-based Approach to Multicriteria Decision-making Problems,” Journal of Multi-Criteria Decision Analysis, vol. 22, no. 1-2, pp. 37-50, 2015. http://dx.doi.org/https://doi.org/10.1002/mcda.1525
  • 23. W. Sałabun and A. Piegat, “Comparative analysis of MCDM methods for the assessment of mortality in patients with acute coronary syndrome,” Artificial Intelligence Review, vol. 48, no. 4, pp. 557-571, 2017. http://dx.doi.org/https://doi.org/10.1007/s10462-016-9511-9
  • 24. J. Watróbski and J. Jankowski, “Knowledge management in MCDA domain,” in 2015 Federated Conference on Computer Science and Information Systems (FedCSIS), Lodz, Poland, 13-16 September 2015. IEEE, 2015. http://dx.doi.org/https://doi.org/10.15439/2015F295 pp. 1445-1450.
  • 25. A. Karczmarczyk, J. Wątróbski, G. Ladorucki, and J. Jankowski, “MCDA-based approach to sustainable supplier selection,” in 2018 Federated Conference on Computer Science and Information Systems (FedCSIS), Poznan, Poland, 9-12 September 2018. IEEE, 2018. http://dx.doi.org/https://doi.org/10.15439/2018F336 pp. 769-778.
  • 26. V. Yadav, S. Karmakar, P. P. Kalbar, and A. K. Dikshit, “PyTOPS: A Python based tool for TOPSIS,” SoftwareX, vol. 9, pp. 217-222, 2019. http://dx.doi.org/https://doi.org/10.1016/j.softx.2019.02.004
  • 27. T. Imandasari, M. G. Sadewo, A. P. Windarto, A. Wanto, H. O. L. Wijaya, and R. Kurniawan, “Analysis of the Selection Factor of Online Transportation in the VIKOR Method in Pematangsiantar city,” in Journal of Physics: Conference Series, Niagara Hotel, Parapat, Indonesia, 10-12 October 2018, vol. 1255, no. 1. IOP Publishing, 2019. http://dx.doi.org/https://doi.org/10.1088/1742-6596/1255/1/012008 p. 012008.
  • 28. A. Mardani, E. K. Zavadskas, K. Govindan, A. Amat Senin, and A. Jusoh, “VIKOR technique: A systematic review of the state of the art literature on methodologies and applications,” Sustainability, vol. 8, no. 1, p. 37, 2016. http://dx.doi.org/https://doi.org/10.3390/su8010037
  • 29. D. Siregar, H. Nurdiyanto, S. Sriadhi, D. Suita, U. Khair, R. Rahim, D. Napitupulu, A. Fauzi, A. Hasibuan, M. Mesran et al., “Multi-attribute decision making with VIKOR method for any purpose decision,” in Journal of Physics: Conference Series, Kuching, Sarawak, Malaysia, 25-27 November 2017, vol. 1019, no. 1. IOP Publishing, 2018. http://dx.doi.org/https://doi.org/10.1088/1742-6596/1019/1/012034 p. 012034.
  • 30. M. Kumar and C. Samuel, “Selection of best renewable energy source by using VIKOR method,” Technology and Economics of Smart Grids and Sustainable Energy, vol. 2, no. 1, p. 8, 2017. http://dx.doi.org/https://doi.org/10.1007/s40866-017-0024-7
  • 31. J. Wątróbski, W. Sałabun, A. Karczmarczyk, and W. Wolski, “Sustainable decision-making using the COMET method: An empirical study of the ammonium nitrate transport management,” in 2017 Federated Conference on Computer Science and Information Systems (FedCSIS), Prague, Czech Republic, 3-6 September 2017. IEEE, 2017. http://dx.doi.org/https://doi.org/10.15439/2017F455 pp. 949-958.
  • 32. W. Sałabun, J. Wątróbski, and A. Piegat, “Identification of a multi-criteria model of location assessment for renewable energy sources,” in International Conference on Artificial Intelligence and Soft Computing, Zakopane, Poland, 12-16 June 2016. Springer, 2016. doi: https://doi.org/10.1007/978-3-319-39378-0_28 pp. 321-332.
  • 33. W. Sałabun, P. Ziemba, and J. Wątróbski, “The rank reversals paradox in management decisions: The comparison of the AHP and COMET methods,” in International Conference on Intelligent Decision Technologies, Tenerife, Spain, 15-17 June 2016. Springer, 2016. http://dx.doi.org/https://doi.org/10.1007/978-3-319-39630-9_15 pp. 181-191.
  • 34. W. Sałabun, A. Karczmarczyk, J. Wątróbski, and J. Jankowski, “Handling data uncertainty in decision making with COMET,” in 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Bangalore, India, 18-21 November 2018. IEEE, 2018. http://dx.doi.org/https://doi.org/10.1109/SSCI.2018.8628934 pp. 1478-1484.
  • 35. A. Shekhovtsov, J. Kołodziejczyk, and W. Sałabun, “Fuzzy Model Identification Using Monolithic and Structured Approaches in Decision Problems with Partially Incomplete Data,” Symmetry, vol. 12, no. 9, p. 1541, 2020. http://dx.doi.org/https://doi.org/10.3390/sym12091541
  • 36. H. Li, W. Wang, L. Fan, Q. Li, and X. Chen, “A novel hybrid MCDM model for machine tool selection using fuzzy DEMATEL, entropy weighting and later defuzzification VIKOR,” Applied Soft Computing, vol. 91, p. 106207, 2020. http://dx.doi.org/https://doi.org/10.1016/j.asoc.2020.106207
  • 37. N. Yalcin and U. Ünlü, “A multi-criteria performance analysis of Initial Public Offering (IPO) firms using CRITIC and VIKOR methods,” Technological and Economic development of Economy, vol. 24, no. 2, pp. 534-560, 2018. http://dx.doi.org/http://dx.doi.org/10.3846/20294913.2016.1213201
  • 38. A. Shekhovtsov, V. Kozlov, V. Nosov, and W. Sałabun, “Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study,” Sustainability, vol. 12, no. 19, p. 7915, 2020. http://dx.doi.org/https://doi.org/10.3390/su12197915
  • 39. W. Sałabun and K. Urbaniak, “A new coefficient of rankings similarity in decision-making problems,” in International Conference on Computational Science, Amsterdam, The Netherlands, 3-5 June 2020. Springer, 2020. http://dx.doi.org/https://doi.org/10.1007/978-3-030-50417-5_47 pp. 632-645.
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  • 41. L. Fabisiak, R. Budziński, K. Szczypiór-Piasecka, and P. Ziętek, “Zastosowanie metody wielokryterialnej do analizy diagnostycznej pacjenta z choroba ̨ zwyrodnieniowa ̨ stawu biodrowego,” Studia Informatica Pomerania, no. 4 (42), pp. 15-25, 2016. http://dx.doi.org/http://dx.doi.org/10.18276/si.2016.42-02
Uwagi
1. Track 3: Advances in Information Systems and Technology
2. Session: 16th Conference on Information Systems Management
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4775306f-9966-4e69-8dd6-b3d287160d55
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