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  • © 2019

Artificial Intelligent Methods for Handling Spatial Data

Fuzzy Rulebase Systems and Gridded Data Problems

Authors:

  • 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)

  1. Front Matter

    Pages i-xvi
  2. Preliminaries

    1. Front Matter

      Pages 1-1
    2. Introduction

      • Jörg Verstraete
      Pages 3-12
    3. Problem Description and Related Work

      • Jörg Verstraete
      Pages 13-21
    4. Concept

      • Jörg Verstraete
      Pages 23-28
  3. Translating the Spatial Problem

    1. Front Matter

      Pages 29-29
    2. Fuzzy Rulebase Systems

      • Jörg Verstraete
      Pages 31-35
    3. Parameters and Most Possible Ranges

      • Jörg Verstraete
      Pages 37-47
    4. Rulebase Construction

      • Jörg Verstraete
      Pages 49-57
    5. Constrained Defuzzification

      • Jörg Verstraete
      Pages 59-69
    6. Data Comparison

      • Jörg Verstraete
      Pages 71-77
    7. Algorithm

      • Jörg Verstraete
      Pages 79-82
  4. Algorithm and Experiments

    1. Front Matter

      Pages 83-83
    2. Implementation Aspects

      • Jörg Verstraete
      Pages 85-94
    3. Experiments

      • Jörg Verstraete
      Pages 95-125
    4. Conclusion

      • Jörg Verstraete
      Pages 127-131
  5. Back Matter

    Pages 133-135

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.

Authors and Affiliations

  • Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Jörg Verstraete

Bibliographic Information

Buy it now

Buying options

eBook USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access