AstroSA: An astronomical observation scheduler assessment framework in python

Effective multi-attribute group decision-making approach to study astronomy in the probabilistic linguistic q-rung orthopair fuzzy VIKOR framework

“…The motivation behind the need for robust MAGDM tool known as the PL q -ROF-VIKOR model is illustrated below, which is capable of handling uncertainty in astronomy. Despite the advancements in DM methodologies, the application of fuzzy logic-based frameworks to addressing MAGDM issues specific to astronomy remains relatively limited [1] , [12] , [46] . There is a lack of research focusing on developing adaptable fuzzy logic-based models to handle the complexities of astronomical data and DM scenarios.…”