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Although multitude weighted MSM operators have been developed to handle the Pythagorean fuzzy decision issues, these above operators do not possess the idempotency and reducibility during the procedure of information fusion. To conquer these defects, we present the Pythagorean fuzzy reducible weighted MSM (PFRWMSM) operator and Pythagorean fuzzy reducible weighted geometric MSM (PFRWGMSM) operator to fuse Pythagorean fuzzy assessment information. Meanwhile, several worthwhile properties and especial cases of the developed operators are explored at length. Afterwards, we develop a novel Pythagorean fuzzy entropy based upon knowledge measure to ascertain the weights of attribute. Furthermore, an extended weighted aggregated sum product assessment (WASPAS) method is developed by combining the PFRWMSM operator, PFRWGMSM operator and entropy to settle the decision problems of unknown weight information. The efficiency of the proffered method is demonstrated by a teaching quality evaluation issue, as well as the discussion of sensitivity analysis for decision outcomes. Consequently, a comparative study of the presented method with the extant Pythagorean fuzzy approaches is conducted to display the superiority of the propounded approach.<\/jats:p>","DOI":"10.3233\/jifs-210821","type":"journal-article","created":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T11:22:34Z","timestamp":1642159354000},"page":"3121-3152","source":"Crossref","is-referenced-by-count":25,"title":["An extended WASPAS approach for teaching quality evaluation based on pythagorean fuzzy reducible weighted Maclaurin symmetric mean"],"prefix":"10.1177","volume":"42","author":[{"given":"Dongmei","family":"Wei","sequence":"first","affiliation":[{"name":"School of Computer and Software Engineering, Xihua University, Chengdu, Sichuan, P.R. 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