Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach
Dragiša Stanujkić,
Darjan Karabašević,
Gabrijela Popović,
Edmundas Kazimieras Zavadskas,
Muzafer Saračević,
Predrag S. Stanimirović,
Alptekin Ulutaş,
Vasilios N. Katsikis,
Ieva Meidute-Kavaliauskiene
Affiliations
Dragiša Stanujkić
Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, 19210 Bor, Serbia
Darjan Karabašević
Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska 24, 11000 Belgrade, Serbia
Gabrijela Popović
Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska 24, 11000 Belgrade, Serbia
Edmundas Kazimieras Zavadskas
Institute of Sustainable Construction, Vilnius Gediminas Technical University, Sauletekio al. 11, LT-10223 Vilnius, Lithuania
Muzafer Saračević
Department of Computer Sciences, University of Novi Pazar, Dimitrija Tucovića bb, 36300 Novi Pazar, Serbia
Predrag S. Stanimirović
Faculty of Sciences and Mathematics, University of Niš, Višegradska 33, 18000 Niš, Serbia
Alptekin Ulutaş
Department of International Trade and Logistics, Faculty of Economics and Administrative Sciences, Sivas Cumhuriyet University, Sivas 58140, Turkey
Vasilios N. Katsikis
Division of Mathematics and Informatics, Department of Economics, National and Kapodistrian University of Athens, Panepistimiopolis, 15784 Ilissia, Greece
Ieva Meidute-Kavaliauskiene
Faculty of Business Management, Vilnius Gediminas Technical University, Saulėtekio al. 11, LT-10223 Vilnius, Lithuania
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.
