{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T17:28:59Z","timestamp":1769707739194,"version":"3.49.0"},"reference-count":98,"publisher":"SAGE Publications","issue":"4","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,10,4]]},"abstract":"<jats:p>The evaluation of physical education teaching effectiveness is an important component of physical education teaching, and plays a multifaceted role in the process of physical education teaching. The information provided by it can control and regulate the progress of physical education teaching activities as a whole, ensuring that physical education teaching activities develop towards predetermined goals. With the development of the popularization of physical education, people\u2019s requirements for the quality of physical education continue to improve, and the role and position of evaluation in teaching has become increasingly evident. Evaluation of physical education teaching effectiveness has become an indispensable process in teaching activities. The college physical education teaching effect evaluation can be regarded as a multiple attribute decision making (MADM). Thus, this paper collected information in probabilistic hesitant fuzzy sets (PHFSs) and using CRITIC method to obtain the unknown weight among attributes. Further, a novel probabilistic hesitant fuzzy QUALIFLEX (PHF-QUALIFLEX) method was constructed for MADM. Finally, a numerical case for college physical education teaching effect evaluation was illustrated with this proposed model and other methods were utilized to compare with PHF-QUALIFLEX method to verify the feasibility and applicability.<\/jats:p>","DOI":"10.3233\/jifs-231769","type":"journal-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T11:40:38Z","timestamp":1689334838000},"page":"5659-5670","source":"Crossref","is-referenced-by-count":3,"title":["Research on college physical education teaching effect evaluation based on probabilistic hesitant fuzzy QUALIFLEX method"],"prefix":"10.1177","volume":"45","author":[{"given":"Lijuan","family":"Jia","sequence":"first","affiliation":[{"name":"College of Physical Education, Wuhan Sports University, Wuhan, Hubei, China"}]},{"given":"Fang","family":"Hou","sequence":"additional","affiliation":[{"name":"Wuhan Union Hospital, Wuhan, Hubei, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-231769_ref1","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.jclepro.2019.118461","article-title":"A novel hybrid multiple attribute decision-making approach for outsourcing sustainable reverse logistics","volume":"242","author":"Zarbakhshnia","year":"2020","journal-title":"Journal of Cleaner Production"},{"key":"10.3233\/JIFS-231769_ref2","doi-asserted-by":"crossref","first-page":"5819","DOI":"10.1007\/s00500-019-04364-x","article-title":"MABAC method for multiple attribute group decision making under picture 2-tuple linguistic environment","volume":"24","author":"Zhang","year":"2020","journal-title":"Soft Computing"},{"key":"10.3233\/JIFS-231769_ref3","first-page":"S45","article-title":"A multi-instrument comparison study of six multi-attribute utility instruments for a large cohort of Australians with multiple sclerosis: implications for resource allocation decision making","volume":"30","author":"Campbell","year":"2021","journal-title":"Qual. 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