【摘要】 针对数值型不确定数据的匹配进行研究。将存在的数值型不确定数据归纳为range、or_set、probability、unknown、negative五种类型,并给出了形式化定义;提出匹配度和完备度概念,可精确地描述不确定数据的匹配情况,并给出了匹配模型;提出基于range数据类型的匹配度和完备度为最小粒度,定义了其他类型的不确定数据类型的匹配规则,并给出了相应的匹配规则定义。最后通过实例分析,验证了本匹配模型的有效性。更多还原

【Abstract】 This paper focused on the matching model of uncertain data.Firstly,classified existing uncertain data into 5 types,and gave normal definitions,proposed the concepts of matching degree and completeness degree to describe their matching effectively and gave the matching model.Then,presented the idea of matching degree and completeness degree between range types as minimum granularity to define the matching rules between others,and defined their detail matching rules.Lastly,cases demonstrated the availability of the matching model.更多还原