ABSTRACT | 第9-11页 |
摘要 | 第12-20页 |
NOMENCLATURE | 第20-23页 |
1. Introduction | 第23-43页 |
1.1 Background | 第23-29页 |
1.2 Motivation | 第29-32页 |
1.3 Automated Generalization and Fuzziness | 第32-35页 |
1.4 Classification of Spatial Objects in Multidimensional scale vector map sapces | 第35-37页 |
1.5 Research Objectives, Scope and Significance | 第37-39页 |
1.6 Structure of Thesis | 第39-41页 |
1.7 The Innovation Points | 第41-43页 |
2. Literature Review | 第43-66页 |
2.1 Similarity | 第43-45页 |
2.2 Similarity, Perceptions and Definitions in Various Fields | 第45-50页 |
2.3 Similarity Feature Assessment | 第50-51页 |
2.4 Models and Measure of Similarity Through Cognition | 第51-53页 |
2.5 Models and Measure of Similarity Among Curves and Among Polygons | 第53-60页 |
2.6 Raster Based Models of Similarity Assessment | 第60-65页 |
Chapter Summary | 第65-66页 |
3. Fuzzy Spatial Similarity Relations and Spatial Modeling for Simple SpatialObjects | 第66-94页 |
3.1 Introduction to Similarity | 第66-69页 |
3.2 Fuzzy Spatial Similarity Relation; Definitions and Properties | 第69-77页 |
3.3 Realization and Identification of Factors of Fuzziness in Simple Spatial Objects | 第77-81页 |
3.4 Conceptual Framework of Fuzzy Spatial Similarity Relations | 第81-84页 |
3.5 Fuzzification of Membership Function in Fuzzy Spatial Similarity Relation | 第84-87页 |
3.6 Characteristic of Fuzzy Spatial Similarity Relations in Multidimensional ScaleVector Map Spaces | 第87-90页 |
3.7 Modeling Fuzzy Spatial Similarity Relation in Simple Spatial Objects | 第90-92页 |
Chapter Summary | 第92页 |
Innovation Point | 第92-94页 |
4. Fuzzy Spatial Similarity Relations for Automated Generalization of ComplexSpatial Objects | 第94-111页 |
4.1 Complex Spatial Objects and Their Composition | 第94-95页 |
4.2 Fuzzy Spatial Similarity Relation for Complex Spatial Objects; Definitions andProperties | 第95-98页 |
4.3 Realization and Identification of Factors of Fuzziness in Complex SpatialObject | 第98-104页 |
4.4 Modeling Fuzzy Spatial Similarity Relation in Complex Spatial Objects | 第104-110页 |
Chapter Summary | 第110页 |
Innovation Point | 第110-111页 |
5. General Model and Procedure to Measure Fuzzy Saptial Similarity Relations | 第111-122页 |
5.1 Mathematical Models to measure Fuzzy Spatial Similarity Relations inMultidimensional Scale Vector Map at Different Level of Details | 第111-113页 |
5.2 Calculating the Degree of Membership by Means of Fuzzy Weighted Averagein Fuzzy Spatial Similarity Relations | 第113-117页 |
5.3 Fuzzy Spatial Similarity Relation Measurement in multidimensional scalevector map at different levels | 第117-119页 |
5.4 Execution Procedure of Fuzzy Spatial Similarity Relation | 第119-120页 |
Chapter Summary | 第120-121页 |
Innovation Point | 第121-122页 |
6. Conclusions | 第122-127页 |
6.1 Overall Review and Contributions | 第122-124页 |
6.2 Innovations Points | 第124-126页 |
6.3 Recommendations for Future Work | 第126-127页 |
LIST OF PUBLICATIONS | 第127-129页 |
REFERENCES | 第129-154页 |
ACKNOWLEDGEMENTS | 第154-155页 |