基于模糊理论的光成像技术网络课程质量评价系统

Quality evaluation system of optical imaging technology network based on fuzzy theory

由于光成像技术网络课程质量评价指标难以准确量化,评价精度低,为此利用模糊理论分别从多个方面实现对光成像技术网络课程质量评价系统的优化设计。在硬件方面,采用新型或改装的存储器、接口芯片以及中央处理器来代替传统的硬件设备,并对通信网络和电路的连接方式进行改装。通过分析光成像技术网络课程特点,建立数据库及数据库表。在硬件设备和数据库的双重支持下,通过分析确定光成像技术网络课程质量评价内容和评价指标,并利用模糊理论实现评价指标的模糊求解,通过指标与权重的计算处理得出最终的质量评价结果。与传统评价系统的对比得出结论:通过模糊理论的应用,系统的评价误差有所降低,在光成像技术网络课程质量评价的精度方面更加具有优势。

Because the evaluation index of optical imaging technology network course is difficult to quantify accurately and the evaluation accuracy is low, the fuzzy theory is used to optimize the design of optical imaging technology network course quality evaluation system from many aspects. In terms of hardware, new or modified memory, interface chip and CPU are used to replace the traditional hardware equipment, and the connection mode of communication network and circuit is modified. By analyzing the characteristics of optical imaging technology network course, the database and database table are established. Under the dual support of hardware equipment and database, the content and index of optical imaging technology network course quality evaluation are determined through analysis, and the fuzzy solution of evaluation index is realized by using fuzzy theory, and the final quality evaluation result is obtained through the calculation and processing of index and weight. Compared with the traditional evaluation system, the conclusion is drawn: through the application of fuzzy theory, the evaluation error of the system is reduced, and it has more advantages in the accuracy of optical imaging technology network course quality evaluation.