{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T10:14:12Z","timestamp":1777889652278,"version":"3.51.4"},"reference-count":71,"publisher":"SAGE Publications","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["KES"],"published-print":{"date-parts":[[2024,3,14]]},"abstract":"<jats:p>Since the new century, the main theme of my country\u2019s higher education is to improve the quality of teaching. To this end, the education administrative department and the vast number of colleges and universities have done a lot of work. Looking back, this teaching quality construction involving thousands of colleges and universities across the country has attracted much attention from all walks of life. The government as the organizer promotes the active participation of colleges and universities in the form of teaching evaluation under the leadership of administrative authority and the \u201cquality engineering\u201d project with resources and reputation, which has played a huge role in improving the teaching quality of colleges and universities. The teaching quality evaluation in higher education is a classical multi-attribute group decision-making (MAGDM) issue. Recently, the Exponential TODIM (ExpTODIM) method has been used to cope with MAGDM issues. The 2-tuple linguistic neutrosophic sets (2TLNSs) are used as a tool for characterizing uncertain information during the teaching quality evaluation in higher education. In this paper, the 2-tuple linguistic neutrosophic number ExpTODIM (2TLNN-ExpTODIM) is built to solve the MAGDM under 2TLNSs. In the end, a numerical case study for teaching quality evaluation in higher education is given to validate the proposed method. The main contribution of this paper is constructed: (1) the Exponential TODIM (ExpTODIM) method is extended to the PLTSs; (2) the 2-tuple linguistic neutrosophic number ExpTODIM (2TLNN-ExpTODIM) is built to solve the MAGDM under 2TLNSs; (3) Finally, a numerical case study for teaching quality evaluation in higher education is given to validate the proposed method.<\/jats:p>","DOI":"10.3233\/kes-230094","type":"journal-article","created":{"date-parts":[[2023,12,6]],"date-time":"2023-12-06T06:39:58Z","timestamp":1701844798000},"page":"15-30","source":"Crossref","is-referenced-by-count":3,"title":["ExpTODIM-driven framework for 2-tuple linguistic neutrosophic MAGDM with applications to teaching quality evaluation in higher education"],"prefix":"10.1177","volume":"28","author":[{"given":"Can","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zongqian","family":"Cheng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huimin","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"4","key":"10.3233\/KES-230094_ref1","doi-asserted-by":"crossref","first-page":"3121","DOI":"10.3233\/JIFS-210821","article-title":"An extended WASPAS approach for teaching quality evaluation based on pythagorean fuzzy reducible weighted Maclaurin symmetric mean","volume":"42","author":"Wei","year":"2022","journal-title":"Journal of Intelligent & Fuzzy Systems."},{"issue":"14","key":"10.3233\/KES-230094_ref2","doi-asserted-by":"crossref","first-page":"6889","DOI":"10.1007\/s00500-021-06636-x","article-title":"A novel quality evaluation method for standardized experiment teaching","volume":"26","author":"Yang","year":"2022","journal-title":"Soft Comput."},{"issue":"3A","key":"10.3233\/KES-230094_ref3","first-page":"3212","article-title":"Construction of campus ecological collaborative teaching quality evaluation system based on big data environment","volume":"31","author":"Zheng","year":"2022","journal-title":"Fresenius Environ Bull."},{"key":"10.3233\/KES-230094_ref4","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1155\/2022\/5495728","article-title":"Higher education teaching quality evaluation model based on improved RBF neural network","volume":"2022","author":"Qi","year":"2022","journal-title":"Wirel Commun Mob Comput."},{"issue":"3","key":"10.3233\/KES-230094_ref5","doi-asserted-by":"crossref","first-page":"1289","DOI":"10.1080\/03610918.2019.1667390","article-title":"Improving the quality of Higher Education teaching through the exploitation of student evaluations and the use of control charts","volume":"51","author":"Sivena","year":"2022","journal-title":"Commun Stat-Simul Comput."},{"key":"10.3233\/KES-230094_ref6","doi-asserted-by":"crossref","unstructured":"Zeng SZ, Pan Y, Jin HH. 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