摘要
在分析现有相似度量方法的不足之后,提出了一个新的Vague集相似度量方法.通过与现有相似度量方法的比较,说明新的相似度量方法能够有效区分数据,具有一定的有效性和优越性,将该方法应用到学习过程评价中,解决学习程度难以评价的问题.
An analysis of the current methods of similarity measure between vague sets is given and their defects are identified. A new similarity measure between vague sets is proposed. Compared with the current methods, new similarity measure is proven to be effective in distin-guishing data. Its advantages are obvious. The new method can be applied for learning process evaluation. The problem of learning process evaluation is thus easily solved.
出处
《西安文理学院学报(自然科学版)》
2013年第1期32-35,38,共5页
Journal of Xi’an University(Natural Science Edition)
基金
宁夏大学科学研究基金资助项目(ZR1147)
宁夏大学新华学院科学研究基金资助项目(11XH10)