Artificial Intelligent Methods for Handling Spatial Data: Fuzzy Rulebase Systems and Gridded Data Problems

Author:   Jörg Verstraete
Publisher:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2019
Volume:   370
ISBN:  

9783030130954


Pages:   135
Publication Date:   10 December 2019
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Artificial Intelligent Methods for Handling Spatial Data: Fuzzy Rulebase Systems and Gridded Data Problems


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Overview

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.

Full Product Details

Author:   Jörg Verstraete
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   Softcover reprint of the original 1st ed. 2019
Volume:   370
Weight:   0.454kg
ISBN:  

9783030130954


ISBN 10:   3030130959
Pages:   135
Publication Date:   10 December 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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