An extended WASPAS approach for teaching quality evaluation based on pythagorean fuzzy reducible weighted Maclaurin symmetric mean

Teaching quality evaluation (TQE) can not only improve teachers’ teaching skills, but also provide an important reference for school management departments to formulate reform measures and strengthen management. TQE is a process of grading ranking given teachers based on the comprehensive consideration multiple criteria by expert. The Maclaurin symmetric mean (MSM), as powerful aggregation function, capture correlation among input data more efficient. Although multitude weighted MSM operators have been developed handle Pythagorean fuzzy decision issues, these above do possess idempotency reducibility during procedure information fusion. To conquer defects, we present reducible (PFRWMSM) operator geometric (PFRWGMSM) fuse assessment information. Meanwhile, several worthwhile properties especial cases are explored at length. Afterwards, develop novel entropy upon knowledge measure ascertain weights attribute. Furthermore, extended aggregated sum product (WASPAS) method combining PFRWMSM operator, PFRWGMSM settle problems unknown weight efficiency proffered demonstrated issue, well discussion sensitivity analysis outcomes. Consequently, comparative study presented with extant approaches conducted display superiority propounded approach.