Studies in Fuzziness and Soft Computing

Artificial Intelligent Methods for Handling Spatial Data

Fuzzy Rulebase Systems and Gridded Data Problems

Authors: Verstraete, Jörg

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  • 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
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-030-00238-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-030-00237-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • Due: September 25, 2019
  • ISBN 978-3-030-13095-4
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This book provides readers with an insight into the development of a novel method for regridding gridded spatial data, an operation required to perform the map overlay operation and apply map algebra when processing spatial data. It introduces the necessary concepts from spatial data processing and fuzzy rulebase systems and describes the issues experienced when using current regridding algorithms. The main focus of the book is on describing the different modifications needed to make the problem compatible with fuzzy rulebases. It offers a number of examples of out-of-the box thinking to handle aspects such as rulebase construction, defuzzification, spatial data comparison, etc. At first, the emphasis is put on the newly developed method, and additional datasets containing information on the underlying spatial distribution of the data are identified. After this, an artificial intelligent system (in the form of a fuzzy inference system) is constructed using this knowledge and then applied on the input data to perform the regridding.  The book offers an example of how an apparently simple problem can pose many different challenges, even when trying to solve it with existing soft computing technologies. The workflow and solutions to solve these challenges are universal and may therefore be broadly applied into other contexts.

Table of contents (12 chapters)

Table of contents (12 chapters)

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-030-00238-1
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-030-00237-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • Due: September 25, 2019
  • ISBN 978-3-030-13095-4
  • Free shipping for individuals worldwide
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Artificial Intelligent Methods for Handling Spatial Data
Book Subtitle
Fuzzy Rulebase Systems and Gridded Data Problems
Authors
Series Title
Studies in Fuzziness and Soft Computing
Series Volume
370
Copyright
2019
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-00238-1
DOI
10.1007/978-3-030-00238-1
Hardcover ISBN
978-3-030-00237-4
Softcover ISBN
978-3-030-13095-4
Series ISSN
1434-9922
Edition Number
1
Number of Pages
XVI, 135
Number of Illustrations
7 b/w illustrations, 46 illustrations in colour
Topics