Version [1.3]- [pyrepo-mcda - Reference objects based MCDA software package]
Aleksandra Bączkiewicz,
Jarosław Wątróbski,
Kesra Nermend,
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
Kesra Nermend
Institute of Management, University of Szczecin, ul. Cukrowa 8, 71-004 Szczecin, 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: 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.
This paper presents the pyrepo-mcda Python package upgrade with the implementation of the Preference Vector Method (PVM) multi-criteria method. This upgrade extends the scope of multi-criteria decision analysis offered by this package. Several advantages of the PVM method, such as the reduction of the participation of decision-makers, the possibility of giving individual preference vectors, and the possibility of modification and further development, are in the interest of decision-makers in various multi-criteria decision analysis problems, particularly in the sustainability assessment.
