Research on University Teaching Quality Evaluation Based on Fuzzy Support Vector Machine
Le Yi Shi · Computer Development & Applications · 2014
How to evaluate the quality of teaching in Colleges and universities objectively and accurately,has been a major research topic.Due to the evaluation system of teaching quality evaluati on is a multi index,multi object and the traditional calculation methods are cumbersome,objectivity poor situation,an evaluation of improved fuzzy support vector machine model is presanted in this paper to evaluate the teaching quality.A fuzzy m-embership function,reduction in the small training set of sample points on the establishment of abnormal classification hyper plane interference at the same time,does not reduce the training set of sample each sample impact on the classification hyperplane. Experiments show that this paper improves the accuracy of the evaluation of teaching quality at the same time, fuzzy support vector machine's generalization ability has been improved.