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Autor(en): 
  • Jörg Verstraete
  • Artificial Intelligent Methods for Handling Spatial Data: Fuzzy Rulebase Systems and Gridded Data Problems 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   i.d.R. innert 5-10 Tagen versandfertig
    Veröffentlichung:  Dezember 2019  
    Genre:  Naturwissensch., Medizin, Technik 
     
    AdaptingFuzzyRulebaseSystems / AlgorithmsforSpatialDisaggregation / ApplicationsofFuzzyInferenceSystems / ApplicationsofRulebaseSystems / CombiningGriddedDatasets / CombiningSpatialDatasets / Data Mining / DefuzzificationMethods
    ISBN:  9783030130954 
    EAN-Code: 
    9783030130954 
    Verlag:  Springer 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D 9 mm 
    Gewicht:  242 gr 
    Seiten:  152 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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.

      



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