Rough spatial interpretation

Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

Volumn 3066, Issue , 2004, Pages 435-444

  Wang, Shuliang ^a,b   Yuan, Manning ^b   Chen, Guoqing ^a   Li, Deren ^b   Shi, Wenzhong ^c  

^a Tsinghua University   (China)

^b WUHAN UNIVERSITY   (China)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CODES (SYMBOLS); GEOGRAPHIC INFORMATION SYSTEMS; MAPS; MATHEMATICAL MODELS; MATRIX ALGEBRA; MAXIMUM LIKELIHOOD ESTIMATION; MEMBERSHIP FUNCTIONS; TOPOLOGY; ROUGH SET THEORY; UNCERTAINTY ANALYSIS;

CRISP ENTITY; ROUGH SPATIAL INTERPRETATION; ROUGH SYMBOLS; SPATIAL ANALYSIS; NEW APPROACHES; REAL-WORLD; ROUGH MEMBERSHIP FUNCTIONS; SPATIAL ENTITIES; SPATIAL INTERPRETATION; THEMATIC CLASSIFICATION; TOPOLOGICAL RELATIONSHIPS;

ROUGH SET THEORY; MEMBERSHIP FUNCTIONS;

EID: 9444245312     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-25929-9_52     Document Type: Conference Paper

References (6)

1. Burrough P. A., Frank A. U. (1996) Geographic Objects with Indeterminate Boundaries (London: Taylor & Francis).
2. Pawlak Z.(1991) Rough sets: theoretical aspects of reasoning about data (London: Kluwer Academic Publishers).
3. Polkowski L., Skowron A.(1998) Rough Sets in Knowledge Discovery I: Methodologies and Applications.Heidelberg: Physica-Verlag.
4. Polkowski L, Skowron, A. (1998) Rough Sets in Knowledge Discovery 2: Applications, Case Studies and Software Systems. Heidelberg: Physica-Verlag.
5. Wang S.L.,et al (2002) Theory and application of Geo-rough space. Geomatics and Information Science of Wuhan University, 27(3): 274-282, (in Chinese).
6. Polkowski L.,Tsumoto S., Lin T. Y. (2000) Rough Methods and Applications: New Developments in Knowledge Discovery in Information Systems, Berlin: Phisica-Verlag.