Selection of most effective COVID-19 virus protector using a novel MCGDM technique under linguistic generalised spherical fuzzy environment

In this article, we have introduced a new linguistic generalized spherical fuzzy set by combining the idea of and set. Linguistic is described positive, neutral negative membership degrees with condition that square sum its less than or equal to 3 which deal uncertain imprecise information in decision making much more suitable way. We discussed some basic operations sets score accuracy functions compare any two numbers. developed various types aggregation operators based on newly defined set, been manifested construct multi-criteria group decision-making technique. Numerical example has presented demonstrate proposed model. Finally, sensitivity comparative analysis performed show reliability efficiency