Reasoning the Uncertainty of Topological Relations between Uncertain Regions

被引:0
作者
Bao Lei [1 ]
Qin Xiaolin [2 ]
机构
[1] Naval Univ Engn Wuhan, Dept Command & Control, Wuhan, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Inst Informat Sci & Technol, Nanjing, Jiangsu, Peoples R China
来源
PROCEEDINGS OF THE 2011 INTERNATIONAL CONFERENCE ON INFORMATICS, CYBERNETICS, AND COMPUTER ENGINEERING (ICCE2011), VOL 2: INFORMATION SYSTEMS AND COMPUTER ENGINEERING | 2011年 / 111卷
关键词
GIS; Topological analysis; Uncertain; Grey set;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a quantitative analysis model for indeterminate topological relations between uncertain spatial regions. This model use Grey set to represent uncertain spatial regions, which have a pair of membership function instead a single one to describe the indeterminacy distribution. Using the cut-set operation on the Grey set, uncertain spatial regions can be turned into crisp region pairs. By applying relative qualitative topological analysis model such as the Egg/Yolk model on these crisp region pairs. the indeterminacy of topological relations can be quantified to a probability range.
引用
收藏
页码:483 / +
页数:2
相关论文
共 9 条
[1]  
[Anonymous], CONTROL
[2]  
BITTNER T, 2001, ROUGH SETS CURRENT T, P445
[3]   Approximate topological relations [J].
Clementini, E ;
DiFelice, P .
INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 1997, 16 (02) :173-204
[4]  
Cohn A.G., 1996, GEOGRAPHIC OBJECTS I, P171
[5]  
DENG JL, 2002, FDN GREY THEORY, P246
[6]   POINT-SET TOPOLOGICAL SPATIAL RELATIONS [J].
EGENHOFER, MJ ;
FRANZOSA, RD .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SYSTEMS, 1991, 5 (02) :161-174
[7]  
Randell D. A., 1992, Principles of Knowledge Representation and Reasoning: Proceedings of the Third International Conference (KR '92), P165
[8]  
Schneider M, 1999, LECT NOTES COMPUT SC, V1651, P330
[9]  
Shi W., 2005, PRINCIPLE MODELING U, P231