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Design of teaching quality evaluation model based on fuzzy mathematics and SVM algorithm

机译:基于模糊数学和SVM算法的教学质量评价模型设计

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摘要

Teaching quality evaluation is important to improve teaching quality in universities. Fuzzy comprehensive evaluation is a comprehensive method of qualitative analysis and quantitative analysis. It has been widely applied in social life, economic management and engineering technology. 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.
机译:教学质量评估对于提高大学教学质量非常重要。 模糊综合评判是一种定性分析和定量分析的综合方法。 它已广泛应用于社会生活,经济管理和工程技术。 科学实践证明,权重因素的合理分布和评价模型的选择直接影响了模糊综合评价结果的准确性和可靠性。 如何将多个指标的重量确定为单个索引是本研究的重点。 仿真结果表明,本文设计的高斯核功能优化方法的参数具有很强的优势。 此外,结果表明,本文呈现的算法可以准确反映教学质量的质量,同时实现了教学质量评价指标的准确确定。

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