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Article

Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach

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Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia
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Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska 24, 11000 Belgrade, Serbia
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Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania
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Department of Computer Sciences, University of Novi Pazar, Dimitrija Tucovića bb, 36300 Novi Pazar, Serbia
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Faculty of Sciences and Mathematics, University of Niš, Višegradska 33, 18000 Niš, Serbia
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Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences, Sivas Cumhuriyet University, Sivas 58140, Turkey
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Division of Mathematics and Informatics, Department of Economics, National and Kapodistrian University of Athens, Panepistimiopolis, 15784 Ilissia, Greece
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Faculty of Business Management, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania
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Author to whom correspondence should be addressed.
Academic Editor: Javier Fernandez
Axioms 2021, 10(4), 347; https://doi.org/10.3390/axioms10040347
Received: 2 November 2021 / Revised: 3 December 2021 / Accepted: 15 December 2021 / Published: 17 December 2021
This article presents a comparison of the results obtained using the newly proposed Simple Weighted Sum Product method and some prominent multiple criteria decision-making methods. For comparison, several analyses were performed using the Python programming language and its NumPy library. The comparison was also made on a real decision-making problem taken from the literature. The obtained results confirm the high correlation of the results obtained using the Simple Weighted Sum Product method and selected multiple criteria decision-making methods such as TOPSIS, SAW, ARAS, WASPAS, and CoCoSo, which confirms the usability of the Simple Weighted Sum Product method for solving multiple criteria decision-making problems. View Full-Text
Keywords: WISP; MCDM; WASPAS; ARAS; SAW; TOPSIS; CoCoSo WISP; MCDM; WASPAS; ARAS; SAW; TOPSIS; CoCoSo
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MDPI and ACS Style

Stanujkić, D.; Karabašević, D.; Popović, G.; Zavadskas, E.K.; Saračević, M.; Stanimirović, P.S.; Ulutaş, A.; Katsikis, V.N.; Meidute-Kavaliauskiene, I. Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach. Axioms 2021, 10, 347. https://doi.org/10.3390/axioms10040347

AMA Style

Stanujkić D, Karabašević D, Popović G, Zavadskas EK, Saračević M, Stanimirović PS, Ulutaş A, Katsikis VN, Meidute-Kavaliauskiene I. Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach. Axioms. 2021; 10(4):347. https://doi.org/10.3390/axioms10040347

Chicago/Turabian Style

Stanujkić, Dragiša, Darjan Karabašević, Gabrijela Popović, Edmundas K. Zavadskas, Muzafer Saračević, Predrag S. Stanimirović, Alptekin Ulutaş, Vasilios N. Katsikis, and Ieva Meidute-Kavaliauskiene. 2021. "Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach" Axioms 10, no. 4: 347. https://doi.org/10.3390/axioms10040347

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