Version [1.1]- [Crispyn — A Python library for determining criteria significance with objective weighting methods]
Aleksandra Bączkiewicz,
Jarosław Wątróbski,
Wojciech Sałabun
Affiliations
Aleksandra Bączkiewicz
Institute of Management, University of Szczecin, ul. Cukrowa 8, 71-004 Szczecin, Poland
Jarosław Wątróbski
Institute of Management, University of Szczecin, ul. Cukrowa 8, 71-004 Szczecin, Poland; National Institute of Telecommunications, ul. Szachowa 1, 04-894 Warsaw, Poland
Wojciech Sałabun
National Institute of Telecommunications, ul. Szachowa 1, 04-894 Warsaw, Poland; Research Team on Intelligent Decision Support Systems, Department of Artificial Intelligence Methods and Applied Mathematics, Faculty of Computer Science and Information Technology, West Pomeranian University of Technology in Szczecin, ul. Żołnierska 49, 71-210 Szczecin, Poland; Corresponding author at: National Institute of Telecommunications, ul. Szachowa 1, 04-894 Warsaw, Poland.
This paper presents an extension of the developed crispyn Python package providing weighting methods for multi-criteria decision analysis. The crispyn package, including until now eleven objective methods for determining criteria weights, was supplemented with four subjective weighting methods. The extension of the crispyn package significantly expands its scope of applications for decision problems requiring considering subjective criteria preferences of decision-makers’ for example, in reliable sustainability assessment.
