ANALISIS PERBANDINGAN METODE FUZZY VIKOR DAN TOPSIS UNTUK APLIKASI SISTEM PENGAMBILAN KEPUTUSAN
Abstract
In today’s complex modern life, decision making plays a vital role. To assist in better decision making, a decision support system (DSS) application implementing Fuzzy VIKOR and Fuzzy TOPSIS methods has been developed. The application allows users to input evaluation criteria and alternatives, generating reliable and consistent rankings. The system performance was evaluated through manual calculation, Spearman coefficient correlation, and execution time test. The results showed that the implemented system is reliable and produces rankings that are consistent with manual calculation. A strong correlation was observed between Fuzzy VIKOR and Fuzzy TOPSIS rankings for cases with fewer criteria and alternatives, but it weakened as the complexity of the problem increased. In addition, the system showed that Fuzzy VIKOR had a faster overall execution time compared to the Fuzzy TOPSIS implementation. This indicates that the Fuzzy VIKOR method outperforms Fuzzy TOPSIS in terms of efficiency and computational speed. Overall, the developed DSS application helps decision makers in overcoming uncertainty and complexity in everyday decision making.
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References
[2] R. S. Dwitama, Pemilihan Metode Multi Criteria Decision Making (MCDM) Menggunakan Pendekatan Rank Similarity Simulation (RSS), vol. 1, no. 2019, pp. 1–2, Aug. 2019. Ni, J., Li, J., & McAuley, J. (2019). “Empirical Methods in Natural Language Processing (EMNLP).”
[3] B. Zolghadr-Asli, O. Bozorg-Haddad, and H. A. Loaiciga, A Handbook on Multi-Attribute Decision-Making Methods. John Wiley & Sons, Inc., 2021..
[4] J. Dong, H. Huo, D. Liu, and R. Li, “Evaluating the comprehensive performance of demand response for commercial customers by applying combination weighting techniques and Fuzzy Vikor approach,” Sustainability, vol. 9, no. 8, pp. 6–8, 2017. doi:10.3390/su9081332
[5] F. R. Lima Junior, L. Osiro, and L. C. Carpinetti, “A comparison between fuzzy AHP and Fuzzy Topsis methods to supplier selection,” Applied Soft Computing, vol. 21, pp. 194–209, 2014. doi:10.1016/j.asoc.2014.03.014
[6] A. Shekhovtsov and W. Sałabun, “A comparative case study of the Vikor and Topsis rankings similarity,” Procedia Computer Science, vol. 176, pp. 3730–3740, 2020. doi:10.1016/j.procs.2020.09.014
[7] I. Purwanto and M. R. Widyanto, Studi pengukuran kemiripan rantai DNA virus H5N1 berbasis himpunan fuzzy, 2009.
[8] M. Alavi and H. A. Napier, “An experiment in applying the Adaptive Design Approach to DSS development,” Information; Management, vol. 7, no. 1, pp. 21–28, 1984. doi:10.1016/0378-7206(84)90004-1
[9] S. Poudel and S. Bhattarai, “AHP for everybody: Innovation through mobile application for personal decisions,” Proceedings of the International Symposium on the Analytic Hierarchy Process, Dec. 2020. doi:10.13033/isahp.y2020.008
[10] P. Hansen and F. Ombler, “A new method for scoring additive multi-attribute value models using pairwise rankings of alternatives,” Journal of Multi-Criteria Decision Analysis, vol. 15, no. 3–4, pp. 87–107, 2008. doi:10.1002/mcda.428
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