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

Stanujkic, Dragisa; Karabasevic, Darjan; Popovic, Gabrijela; Zavadskas, Edmundas; Saracevic, Muzafer; Stanimirovic, Predrag; ULUTAŞ, ALPTEKİN; Katsikis, Vasilios; Meidute-Kavaliauskiene, Ieva

doi:10.3390/axioms10040347

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

Stanujkic D., Karabasevic D., Popovic G., Zavadskas E. K., Saracevic M., Stanimirovic P. S., ...Daha Fazla

AXIOMS, cilt.10, sa.4, 2021 (SCI-Expanded)

Yayın Türü: Makale / Tam Makale
Cilt numarası: 10 Sayı: 4
Basım Tarihi: 2021
Doi Numarası: 10.3390/axioms10040347
Dergi Adı: AXIOMS
Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Anahtar Kelimeler: WISP, MCDM, WASPAS, ARAS, SAW, TOPSIS, CoCoSo, COSINE SIMILARITY MEASURES, SETS
Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

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.