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Titlebook: Artificial Intelligent Methods for Handling Spatial Data; Fuzzy Rulebase Syste Jörg Verstraete Book 2019 Springer Nature Switzerland AG 201

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Rulebase Constructionance, provided it can be calculated for every variable. This also impacts the application of the rulebase, where the domains are also not a priori known. Unlike with a normal rescaling, the resulting fuzzy set is correctly defined on the domain of the result, which is beneficial for subsequent processing.
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https://doi.org/10.1007/978-3-642-86691-3culations. The proposed method aims to find errors and circumvents them by lowering the dimension of calculated geometries. This algorithm is used throughout the implementation, as all spatial operations make use of it.
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Parameters and Most Possible Rangeswill require a modification to the algorithm for construction a rulebase from examples which will be explained in the next chapter. It will also impact the application of the rulebase, where the domains are also not a priori known.
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Constrained Defuzzification defuzzification of fuzzy sets, where a method was developed to defuzzify multiple fuzzy sets in parallel, under the condition that the result should sum up to a given value. This constrained defuzzification allows for better results in the context of the spatial processing, but can also have wider applications.
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https://doi.org/10.1007/978-3-658-17336-4ance, provided it can be calculated for every variable. This also impacts the application of the rulebase, where the domains are also not a priori known. Unlike with a normal rescaling, the resulting fuzzy set is correctly defined on the domain of the result, which is beneficial for subsequent processing.
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Book 2019m 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
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Introductionxactly is data with a spatial component, before moving on to the conceptual spatial models that are commonly used in geographic information systems: feature based and grid based, along with their uses. The chapter elaborates on the details of the different models and why working with data in differe
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