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Jrv粗糙Vague区域关系
引用本文:张丽平,李松,郝晓红,郝忠孝. Jrv粗糙Vague区域关系[J]. 浙江大学学报(工学版), 2012, 0(1): 105-111
作者姓名:张丽平  李松  郝晓红  郝忠孝
作者单位:哈尔滨理工大学计算机科学与技术学院;哈尔滨理工大学计算中心;哈尔滨工业大学计算机科学与技术学院
基金项目:国家自然科学基金资助项目(60673136,60903083);哈尔滨理工大学青年科学研究基金资助项目(2011);黑龙江省教育厅科学技术研究项目(11551084);黑龙江省自然科学基金资助项目(F200702,F201134)
摘    要:为了处理重要的Jrv类粗糙Vague区域关系,基于Vague集和粗糙集的联合给出Jrv类粗糙Vague区域关系的数学模型表示.通过分析粗糙Vague区域关系模型的复杂粗糙变换情况,确定粗糙Vague区域关系的动态关联邻接图.基于粗糙Vague区域的上﹑下近似模型,提出Jrv类粗糙Vague原子区域关系的可能蕴涵情况表,基于蕴涵情况表给出Jrv类粗糙Vague区域关系的可能蕴涵式.给出实例模型,并对实例模型进行分析.理论研究和实例分析结果表明,该模型可以处理复杂的Jrv类粗糙Vague区域关系,极大地增强了空间数据库处理复杂不确定区域关系的能力.

关 键 词:Vague区域  粗糙Vague区域关系  Vague集  粗糙集  可能蕴涵式

Jrv rough Vague region relation
ZHANG Li-ping,LI Song,HAO Xiao-hong,HAO Zhong-xiao. Jrv rough Vague region relation[J]. Journal of Zhejiang University(Engineering Science), 2012, 0(1): 105-111
Authors:ZHANG Li-ping  LI Song  HAO Xiao-hong  HAO Zhong-xiao
Affiliation:1,3 (1.College of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,China; 2.Department of Computer,Harbin University of Science and Technology,Harbin 150080,China; 3.College of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China)
Abstract:The mathematic model representation of Jrv rough Vague region relation was given based on Vague set and rough set in order to deal with the important Jrv rough Vague region relation.The dynamic relevance adjacency graph of rough Vague region relation was determined through analyzing the complex rough-transform situation of the rough Vague region relation.The possible implication expression table was proposed based on the upper approximation and lower approximation of the rough Vague region.The possible implication expression of the Jrv rough Vague region relation was given.The analysis of an instance was discussed.Results show that the model can greatly enhance the ability of the spatial database for the complex uncertain region relation.
Keywords:Vague region  rough Vague region relation  Vague set  rough set  possible implication expression
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