Overview
- Reports on a novel method combining fuzzy inference systems with spatial data to solve the map overlay problem
- Describes modification of existing inference systems and their applications to new problems
- Demonstrates the efficacy of the method with several experiments on disambiguation and regridding
- Offers a detailed description of the algorithm implementation process
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 370)
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Table of contents (12 chapters)
-
Preliminaries
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Translating the Spatial Problem
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Algorithm and Experiments
Keywords
- Spatial Data Processing
- Regridding
- Map Overlay for Grids
- Applications of Fuzzy Inference Systems
- Applications of Rulebase Systems
- Adapting Fuzzy Rulebase Systems
- Processing of Gridded Spatial Datasets
- Grid Based Models
- Combining Gridded Datasets
- Combining Spatial Datasets
- Algorithms for Spatial Disaggregation
- Spatial Similarity between Different Grids
- Mamdani Rulebase Systems
- Defuzzification Methods
About this book
Authors and Affiliations
Bibliographic Information
Book Title: Artificial Intelligent Methods for Handling Spatial Data
Book Subtitle: Fuzzy Rulebase Systems and Gridded Data Problems
Authors: Jörg Verstraete
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-00238-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-030-00237-4Published: 11 September 2018
Softcover ISBN: 978-3-030-13095-4Published: 10 December 2019
eBook ISBN: 978-3-030-00238-1Published: 31 August 2018
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XVI, 135
Number of Illustrations: 7 b/w illustrations, 46 illustrations in colour
Topics: Computational Intelligence, Data Mining and Knowledge Discovery, Artificial Intelligence, Geographical Information Systems/Cartography