Résumé: In rent years, commercial insurance selection is a hot issue in multiple attribute group decision making (MAGDM). Spherical fuzzy sets (SFSs) can better express the vague factors to commercial insurance selection. In this paper, spherical fuzzy TODIM approach based on cumulative prospect theory (SF-CPT-TODIM) is presented for MAGDM issues. It can display the psychological perception of decision makers (DMs) very well. Furthermore, when the attribute weights are unknown, we obtain the attribute weights through CRITIC method under SFSs to heighten the reasonability of weight information. Finally, this article gives a practical example of the raised approach for the hot issue about commercial insurance selection to certify the availability and superiority for the raised method via comparing with some existing approaches.

Langue: Anglais
Thème Informatique

Mots clés:
Multiple attribute group decision making (MAGDM)
Spherical fuzzy sets (SFSs)
TODIM
Cumulative prospect theory (CPT)
CRITIC
Commercial insurance selection