摘要
在很多现实世界应用中存在着大量的不精确性和不确定性信息,正是由于这个原因,基于各类数据模型的模糊数据建模的研究已经广泛展开.当前互联网上存在大量的电子数据资源,而XML已经成为Web上信息表示和交换的标准.基于可能性分布理论,识别出XML文档多粒度数据模糊性,提出了模糊XML和UML数据模型,在此基础上给出了从模糊XML模型到模糊UML类图的形式化转化方法.
Information imprecision and uncertainty exist in many real-world applications and for this reason fuzzy data modeling has been extensively investigated in various data models. Currently, huge amounts of electronic data are available on the Internet, and XML has been the de-facto standard of information representation and exchange over the Web. Based on possibility distribution theory, we identify multiple granularity of data fuzziness in XML and develop the fuzzy XML data model as well as the fuzzy UML data model. We investigate the formal conversions from the fuzzy XML model to the fuzzy UML model.
出处
《小型微型计算机系统》
CSCD
北大核心
2009年第4期586-593,共8页
Journal of Chinese Computer Systems
基金
教育部新世纪优秀人才支持计划项目(NCET-05-0288)资助
沈阳市人才资源开发专项资金项目资助
教育部高等学校博士学科点专项科研基金项目(20050145024)资助
