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J4  2012, Vol. 46 Issue (1): 105-111    DOI: 10.3785/j.issn.1008-973X.2012.01.17
自动化技术、计算机技术     
Jrv粗糙Vague区域关系
张丽平1,李松1,郝晓红2,郝忠孝1,3
1.哈尔滨理工大学 计算机科学与技术学院,黑龙江 哈尔滨 150080; 2.哈尔滨理工大学 计算中心,
黑龙江 哈尔滨 150080;3.哈尔滨工业大学 计算机科学与技术学院,黑龙江 哈尔滨 150001
Jrv  rough Vague region relation
ZHANG Li-ping1, LI Song1, HAO Xiao-hong2, HAO Zhong-xiao1, 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
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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.

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.

出版日期: 2012-02-22
:  TP 311  
基金资助:

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).

通讯作者: 李松, 男, 副教授.     E-mail: lisongbeifen@163.com
作者简介: 张丽平(1976-),女,讲师, 从事空间数据库理论和应用的研究. E-mail:zhanglptg@163.com
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引用本文:

张丽平,李松,郝晓红,郝忠孝. Jrv粗糙Vague区域关系[J]. J4, 2012, 46(1): 105-111.

ZHANG Li-ping, LI Song, HAO Xiao-hong, HAO Zhong-xiao. Jrv  rough Vague region relation. J4, 2012, 46(1): 105-111.

链接本文:

http://www.zjujournals.com/eng/CN/10.3785/j.issn.1008-973X.2012.01.17        http://www.zjujournals.com/eng/CN/Y2012/V46/I1/105

[1] CLEMENTINI E, FELICE P D. Approximate topological relations [J]. International Journal of Approximate Reasoning, 1997, 16(2): 173-204.
[2] COHN A G, GOTTS N M. The ‘eggyolk representation of regions with indeterminate boundaries [C] ∥Proceedings of GISDATA Specialist Meeting on Geographical Objects with Undetermined Boundaries. London: Taylor & Francis, 1996: 171-187.
[3] ARTA D, ROLF A B, ALFRED S. A proposal for spatial relations between vague objects [C]∥Proceedings of the International Symposium on Spatial Data Quality. Hong Kong: The Hong Kong Polytechnic University, 2005: 50-59.
[4] SCHOCKAERT S, CORNELIS C, COCK M D, et al. Fuzzy spatial relations between vague regions [C] ∥Proceedings of 3rd IEEE Conference on Intelligent Systems. Berlin: Springer, 2006: 221-226.
[5] TANG X M, KAINZ W. Fuzzy topological relations between fuzzy spatial objects [J]. Lecture Notes in Computer Science, 2006, 42(23): 324-333.
[6] SCHOCKAERT S, COCK M D, CORNELIS C. Fuzzy region connection calculus: representing Vague topological information [J]. International Journal of Approximate Reasoning, 2008, 48(1): 314-331.
[7] BEAUBOUEF T, PETRY F, LADNER R. Spatial data methods and vague regions: a rough set approach [J]. Applied Soft Computing, 2007, 7(1): 425-440.
[8] 李松,郝忠孝. 基于Vague集的含洞不规则Vague区域关系[J].计算机研究与发展,2009, 46(5): 823-831.
LI Song, HAO Zhongxiao. Region relations of the irregular vague regions with holes based on Vague sets [J]. Journal of Computer Research and Development, 2009, 46(5): 823-831.
[9] 郝忠孝,李松. 基于Vague集的动态Vague区域关系[J].软件学报,2009, 20(4): 878-889.
HAO Zhongxiao, LI Song. Dynamic Vague region relations based on Vague sets [J]. Journal of Software, 2009, 20(4): 878-889.
[10] 李松,郝忠孝.含核Vague区域和Vague洞区域关系及蕴涵定理[J].计算机科学, 2009, 36(12): 171-174.
LI Song, HAO Zhongxiao. Region relations of the Vague region with Kernel and the Vaguehole region and the implication theorem [J]. Computer Science, 2009, 36(12): 171-174.
[11] 杜世宏,王桥,李顺,等.模糊对象粗糙表达及其空间关系研究[J].遥感学报,2004,8(1):1-8.
DU Shihong, WANG Qiao, LI Shun, et al. The research of rough expression of fuzzy objects and their spatial relations [J]. Journal of Remote Sensing, 2004, 8(1): 1-8.
[12] 李松,郝忠孝. 多范畴的Vague区域关系表示与分析[J]. 高技术通讯, 2010, 20(3): 253-258.
LI Song, HAO Zhongxiao. Representation and analyse of multicategory relations of Vague regions [J]. Chinese High Technology Letters, 2010, 20(3): 253-258.
[13] CHEN S M. Similarity measures between vague sets and between elements [J]. IEEE Transactions on Systems, Man and Cybemetics, 1997, 27(1):153-157.
[14] PAWLAK Z. Rough classification [J]. International Journal of HumanComputer Studies, 1999, 51(2): 369-383.
[15] 夏佳荣,王爱芹. 粗糙集理论中近似空间的精细及近似精度[J].浙江大学学报:工学版,2007, 34(3): 245-247.
XIA Jiarong, WANG Aiqin. Fineness and coarseness of an approximation space in the rough set theory [J]. Journal of Zhejiang University: Engineering Science, 2007, 34(3): 245-247.

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