项目名称: 基于Vague软集GML和地标的定性空间位置描述
项目编号: No.41461085
项目类型: 地区科学基金项目
立项/批准年度: 2015
项目学科: 天文学、地球科学
项目作者: 韦波
作者单位: 桂林理工大学
项目金额: 50万元
中文摘要: GML(地理标志语言)以文本方式显式表达地理空间知识,符合定性空间位置描述文本形式的用户接口需求。Vague软集比Fuzzy集能表达更细腻的模糊信息,融合模糊和参数工具,适合表达定性空间位置描述中的含糊性,用其对GML进行含糊扩展,将提升GML对地理空间知识的表达能力。构造含糊性的Vague软集表达式,通过引入含糊构造子,建立Vague软集GML模型,包括GML DTD(文档类型定义)和Schema(模式)两种形式。构造地标权重因素的Vague软集表达式,得出其在Vague软集GML中的表达形式。研究Vague软集模糊熵、相似度量、多目标模糊决策,基于此实现地标多个因素权重的综合及地标排序。构建研究区域Vague软集GML模型,基于地标,生成目标对象的定性空间位置描述,并用自然语言表述的文本方式输出。项目研究成果为定性地理信息系统理论提供有益的补充,也为智慧桂林和智慧旅游建设服务。
中文关键词: 人工智能;形式化建模;知识表示;模糊数学;数据传输
英文摘要: Geography markup language (GML) explicitly expresses the geographical spatial knowledge by text, and conforms to the user interface requirements of qualitative location description in text. Comparing with Fuzzy sets, Vague soft sets can express more exquisite and fuzzy information. It fuses fuzzy and parameter tool, and is suitable for expressing vagueness in qualitative location description. The GML expression ability to geographical spatial knowledge will be improved by the vague extension of GML with Vague soft sets. The Vague soft set expression for the vagueness is constructed, and a Vague soft set GML model, including GML DTD (Document Type Definition) and Schema two forms, is established by introducing Vague structures. The Vague soft set expression and the Vague soft set GML expression are constructed for the weight factors of landmarks. The composite of multiple weight factors and sorting for landmarks are implementated based on research on fuzzy entropy, similarity measures, multi-objective fuzzy decision of Vague soft sets. A Vague soft set GML model of the research area is established, and the qualitative location description of target objects is generated by using natural language to output in text based on the landmarks. Project research results not only provide a beneficial supplement for the theories of qualitative geographic information system, but also service for the construction of the Smart GuiLin and the Smart Tourism.
英文关键词: artificial intelligence;formal method;knowledge representation;fuzzy mathematics;data transmission