Fuzzy processing system for psychological pressure of English teachers at work based on analysis of online teaching video

IF 1.5 Q2 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Fuzzy Logic and Intelligent Systems Pub Date : 2021-05-23 DOI:10.3233/JIFS-219055

Zheng Jin

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引用次数: 0

Abstract

Due to the fast pace of modern online English teaching and the complicated teaching relationship, English teachers face increasing pressure in teaching work, which easily leads to various psychological problems. In view of this, based on theoretical results and expert experience in the field of psychological pressure of English teachers, this paper uses fuzzy processing systems and fuzzy weighted logic inference theory to establish a knowledge base in the field of psychological health and an evaluation model for psychological pressure of English teachers. Moreover, this paper carries out knowledge representation and reasoning on the knowledge of psychological health theory, and applies the evaluation reasoning model to the expert system of psychological health evaluation of English teachers to finally design and realize the expert system of psychological health evaluation of English teachers based on fuzzy weighted logic. Finally, this paper designs experiments to verify the system performance. The research results show that the system’s data processing speed and the accuracy of the evaluation results of psychological stress of English teachers meet the actual needs.

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基于网络教学视频分析的英语教师工作心理压力模糊处理系统

由于现代网络英语教学的快节奏和复杂的教学关系，英语教师在教学工作中面临的压力越来越大，容易导致各种心理问题。鉴于此，本文基于英语教师心理压力领域的理论成果和专家经验，运用模糊处理系统和模糊加权逻辑推理理论，建立了心理健康领域的知识库和英语教师心理压力评价模型。此外，本文对心理健康理论知识进行知识表示和推理，并将评价推理模型应用于英语教师心理健康评价专家系统，最终设计并实现了基于模糊加权逻辑的英语教师心理健康评价专家系统。最后，设计了实验来验证系统的性能。研究结果表明，该系统的数据处理速度和英语教师心理压力评价结果的准确性符合实际需要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Fuzzy Logic and Intelligent Systems COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.80

自引率

23.10%

发文量

期刊介绍： The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.