Fuzzy Modeling with Spatial Information for Geographic Problems [electronic resource] / edited by Frederick E. Petry, Vincent B. Robinson, Maria A. Cobb.
| Call Number | 910.285 |
| Title | Fuzzy Modeling with Spatial Information for Geographic Problems edited by Frederick E. Petry, Vincent B. Robinson, Maria A. Cobb. |
| Physical Description | XII, 338 p. online resource. |
| Contents | Reasoning About Regions, Relations, and Fields -- Fuzzy Reasoning about Geographic Regions -- Combined Extraction of Directional and Topological Relationship Information from 2D Concave Objects -- Field Based Methods for the Modeling of Fuzzy Spatial Data -- Modeling Localities with Fuzzy Sets and GIS -- Fuzzy Classification -- Mining Weather Data Using Fuzzy Cluster Analysis -- Modelling the Fuzzy Spatial Extent of Geographical Entities -- Multi-Dimensional Interpolations with Fuzzy Sets -- Talking Space — A Social & Fuzzy Logical GIS Perspective On Modelling Spatial Dynamics -- A Valuation of the Reliability of a GIS Based on the Fuzzy Logic in a Concrete Case Study -- Fuzzy Representations of Landscape Features -- Fuzziness and Ambiguity in Multi-Scale Analysis of Landscape Morphometry -- Fuzzy Representation of Special Terrain Features Using a Similarity-based Approach -- Decision Making with GIS and Fuzzy Sets -- Spatial Decision-Making Using Fuzzy Decision Tables: Theory, Application and Limitations -- Spatial Decision Making Using Fuzzy GIS -- Spatially Explicit Individual-Based Ecological Modeling with Mobile Fuzzy Agents. |
| Summary | Over recent years, interest in using fuzzy sets approaches has grown across fields that use spatial information in geographic problems. Not only has there been considerable research on fuzzy sets in GIS that support geographic problem solving, but increasingly the uncertainties inherent in modeling geographic problems are addressed using soft-computing methods. This book focuses on research advances in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets, to address geographic problems. It has two aims: to stimulate research in the theory and application of fuzzy sets to spatial information management and geographic problem solving; and to highlight advances that have matured so much that geoscientists, computer scientists, geographers, et al. use fuzzy modeling. The book includes examples of the use of fuzzy sets in representational issues such as terrain features, landscape morphology, spatial extents and approaches for spatial interpolation, plus applications using fuzzy sets covering data mining, spatial decision making, ecological simulation, and reliability in GIS. |
| Added Author | Petry, Frederick E. editor. Robinson, Vincent B. editor. Cobb, Maria A. editor. SpringerLink (Online service) |
| Subject | GEOGRAPHY. EARTH SCIENCES. GEOPHYSICS. ARTIFICIAL INTELLIGENCE. Geographical Information Systems. MATHEMATICAL LOGIC. DISCRETE MATHEMATICS. Geography. Geographical Information Systems/Cartography. Mathematical Logic and Foundations. Discrete Mathematics. Earth Sciences, general. Geophysics/Geodesy. Artificial Intelligence (incl. Robotics). |
| Multimedia |
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| Summary | Over recent years, interest in using fuzzy sets approaches has grown across fields that use spatial information in geographic problems. Not only has there been considerable research on fuzzy sets in GIS that support geographic problem solving, but increasingly the uncertainties inherent in modeling geographic problems are addressed using soft-computing methods. This book focuses on research advances in approaches for incorporating explicit handling of uncertainty, especially by fuzzy sets, to address geographic problems. It has two aims: to stimulate research in the theory and application of fuzzy sets to spatial information management and geographic problem solving; and to highlight advances that have matured so much that geoscientists, computer scientists, geographers, et al. use fuzzy modeling. The book includes examples of the use of fuzzy sets in representational issues such as terrain features, landscape morphology, spatial extents and approaches for spatial interpolation, plus applications using fuzzy sets covering data mining, spatial decision making, ecological simulation, and reliability in GIS. |
| Contents | Reasoning About Regions, Relations, and Fields -- Fuzzy Reasoning about Geographic Regions -- Combined Extraction of Directional and Topological Relationship Information from 2D Concave Objects -- Field Based Methods for the Modeling of Fuzzy Spatial Data -- Modeling Localities with Fuzzy Sets and GIS -- Fuzzy Classification -- Mining Weather Data Using Fuzzy Cluster Analysis -- Modelling the Fuzzy Spatial Extent of Geographical Entities -- Multi-Dimensional Interpolations with Fuzzy Sets -- Talking Space — A Social & Fuzzy Logical GIS Perspective On Modelling Spatial Dynamics -- A Valuation of the Reliability of a GIS Based on the Fuzzy Logic in a Concrete Case Study -- Fuzzy Representations of Landscape Features -- Fuzziness and Ambiguity in Multi-Scale Analysis of Landscape Morphometry -- Fuzzy Representation of Special Terrain Features Using a Similarity-based Approach -- Decision Making with GIS and Fuzzy Sets -- Spatial Decision-Making Using Fuzzy Decision Tables: Theory, Application and Limitations -- Spatial Decision Making Using Fuzzy GIS -- Spatially Explicit Individual-Based Ecological Modeling with Mobile Fuzzy Agents. |
| Subject | GEOGRAPHY. EARTH SCIENCES. GEOPHYSICS. ARTIFICIAL INTELLIGENCE. Geographical Information Systems. MATHEMATICAL LOGIC. DISCRETE MATHEMATICS. Geography. Geographical Information Systems/Cartography. Mathematical Logic and Foundations. Discrete Mathematics. Earth Sciences, general. Geophysics/Geodesy. Artificial Intelligence (incl. Robotics). |
| Multimedia |