Open AccessA Novel Fuzzy Evaluation Method on Teaching Quality of College English based on Preference Selection Index
Author(s) -
Guojiaozi Liu,
Qing Cai,
Haiping Ren
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/806/1/012037
Subject(s) - fuzzy logic , preference , class (philosophy) , selection (genetic algorithm) , subject (documents) , computer science , quality (philosophy) , index (typography) , evaluation methods , mathematics education , college english , artificial intelligence , mathematics , engineering , statistics , reliability engineering , philosophy , epistemology , library science , world wide web
The evaluation of teaching quality is an important part of the quality management of teaching in colleges and universities. Many evaluation systems exist shortcomings, which are not suitable for the evaluation of English class. Because English subject has its own characteristics, in which the evaluation subject taken on students is more suitable than on teachers. This paper will propose a college English evaluation index system on the basis of students as the evaluation subject. Since the evaluation indicators are mainly qualitative indicators, which makes the evaluation value fuzzy, this paper proposes a new evaluation method of college English classroom teaching evaluation based on linguistic terms, triangular fuzzy numbers and preference selection index method. Finally, an algorithm case is analyzed to illustrate the effectiveness and feasibility of the proposed method.