Artificial Intelligent Methods for Handling Spatial Data: Fuzzy Rulebase Systems and Gridded Data Problems: 370 (Studies in Fuzziness and Soft Computing) - Tapa blanda

Verstraete, Jörg

 
9783030130954: Artificial Intelligent Methods for Handling Spatial Data: Fuzzy Rulebase Systems and Gridded Data Problems: 370 (Studies in Fuzziness and Soft Computing)
Tapa blanda
ISBN 10: 3030130959 ISBN 13: 9783030130954
Editorial: Springer, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

De la contraportada

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.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2019
Idioma
Inglés
ISBN 10 
3030130959
ISBN 13 
9783030130954
Encuadernación
Tapa blanda
Número de páginas
152
Contacto del fabricante
no disponible
Persona responsable
CMN Printpool Inh. Mathis Neumann
https://www.also.com/ec/cms5/en_6000/6000/index.jsp

Friedrich-Karl-Str. 9
Hamburg
Alemania

Otras ediciones populares con el mismo título

9783030002374: Artificial Intelligent Methods for Handling Spatial Data: Fuzzy Rulebase Systems and Gridded Data Problems: 370 (Studies in Fuzziness and Soft Computing)

Edición Destacada

ISBN 10:  3030002373 ISBN 13:  9783030002374
Editorial: Springer, 2018
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