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The scientific practice has proved that the rational distribution of the weight factors and the selection of the evaluation model directly affect the accuracy and reliability of the fuzzy comprehensive evaluation results. How to determine the weight of multiple indicators into a single index is the focus of the present study. The simulation results show that the parameters of the gaussian kernel function optimization method designed in this article has strong advantages. Also, the results show that the algorithm presented in this paper can accurately reflect the quality of teaching quality, and at the same time realize the accurate determination of the weight of teaching quality evaluation index.<\/jats:p>","DOI":"10.3233\/jifs-169663","type":"journal-article","created":{"date-parts":[[2018,7,6]],"date-time":"2018-07-06T12:07:04Z","timestamp":1530878824000},"page":"3091-3099","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":16,"title":["Design of teaching quality evaluation model based on fuzzy mathematics and SVM algorithm"],"prefix":"10.1177","volume":"35","author":[{"given":"Kong","family":"Haining","sequence":"first","affiliation":[{"name":"College of Business Administration, Capital University of Economics and Business, Beijing, China"}]},{"given":"Fan","family":"Hejun","sequence":"additional","affiliation":[{"name":"College of Business Administration, Capital University of 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