摘要
结合考试分析系统的具体情况对目前常用的贴近度方法进行统一的改进,在现有方法的基础上提出了一种新的贴近度方法,并给出了构造函数,根据新的贴近度方法能够灵活构造出不同精确度的贴近度函数以满足系统在不同条件下的各种需求。通过其后的例子可以看出通过改变文中提出的贴近度方法中相应的参数,可以构造出满足不同的精确度需求的新的贴近度函数来对目标进行有效分类处理,这对于下一步考试分析系统的编程和应用有着非常重要的理论指导意义。
This paper uniformly improves the presently common-used similarity methods by combining the details in the examination analysis system. Based on the presently used methods, a new similarity method with its structured function is proposed. This new method can structure flexibly the similarity function of different degrees of accuracy in order to meet various requirements under different conditions. From the examples in the paper, it is proved that by changing the corresponding parameters in the similarity method, the new similarity function can be structured to effectively categorize and de＇,d with the object, which has an important significance of the theoretical guideline in the further program-designing and application of the examination analysis system.
出处
《计算机技术与发展》
2011年第1期250-252,F0003,共4页
Computer Technology and Development
基金
青岛市科技计划基金项目(08-1-3-2-jch)
关键词
贴近度
考试分析系统
模糊集
similarity
examination analysis system
fuzzy sets
