失散人员时空信息模糊匹配模型

发布时间：2018-05-25 01:00

本文选题：模糊匹配 + 失散人员　；参考：《地球信息科学学报》2017年07期

【摘要】：失散人员时空信息数量多、失散信息地点的收集和查询较复杂,现有的网络寻亲平台虽具有信息采集快,应用普及范围广的特点,但对于失散人员的信息管理较分散,缺乏结合时间范畴和空间范畴的分析。本文在失散人员属性信息查询的基础上,针对失散信息的不准确性和模糊性,对不同失踪年龄段人员进行记忆模糊度分析,并结合汉语言分区以及模糊时空范围设置阈值和权重,建立失散人员时空信息模糊匹配模型。该模型根据失散孩子姓名、性别、血型、出生时间、失踪时间、失踪地点、方言口音及失踪年龄段的模糊特征等影响因子,综合计算出失散人员之间的信息匹配指数;并利用时间地理学方法设计了模型的时空修正方法,对匹配结果的时空可达范围是否存在交集进行了检验。案例数据验证结果表明,该模型能综合考虑已知的失散人员匹配指标项,可筛选出匹配程度较高的信息。
[Abstract]:The number of spatio-temporal information of the separated personnel is large, and the collection and query of the information location are more complex. Although the existing network search platform has the characteristics of fast information collection and wide application, the information management of the separated personnel is scattered. Lack of combination of time category and space category analysis. Based on the query of the attribute information of the lost persons, this paper analyzes the memory ambiguity of the people of different missing ages in view of the inaccuracy and fuzziness of the lost information. The fuzzy matching model of the spatio-temporal information of the separated personnel is established by setting the threshold and weight of the Chinese language partition and the fuzzy space-time range. According to the influence factors such as name, sex, blood type, time of birth, place of disappearance, dialect accent and fuzzy characteristics of missing age, the model calculates the information matching index among the separated children. The spatio-temporal correction method of the model is designed by using the time-geography method, and the intersection of the space-time reachable range of the matching results is tested. The result of case data verification shows that the model can synthetically consider the known matched index items and can filter out the information with high matching degree.
【作者单位】：福建师范大学地理研究所;福建省陆地灾害监测评估工程技术研究中心;海西地理国情动态监测与应急保障研究中心;
【基金】：福建省公益类科研院所专项项目(2015R1034-1) 福建省测绘地理信息局科技资助项目(2015JX03)
【分类号】：C924.2;P208

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