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Comparative Analysis of the Simple WISP and Some Prominent MCDM Methods: A Python Approach
- Publication Year :
- 2021
-
Abstract
- 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.
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.od......2127..bd63e1c1f35af994885cf639a9b92221