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Examples of the Implementation of Fuzzy Models in Tourism in the South Moravian Region

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Geoinformatics for Intelligent Transportation

Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

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Abstract

In geospatial information systems we often come across concepts expressing imprecision, incompleteness, uncertainty or vagueness, just like in everyday life. The degree of uncertainty or vagueness can be expressed through fuzzy set theory by membership functions. The fuzzy sets are more suitable for modelling of the vague phenomena than the classical crisp sets. We ordinarily find out spatial features which are not exactly bounded but are verbally determined. There are two examples of fuzzy exploitation in the South Moravian Region in this paper. Multicriteria decision making of tourism areas uses elementary fuzzy logic knowledge and assessment of bike trail difficulty which is considered according to the compositional rule of inference especially by Mamdani’s method and defuzzification processes. The analyses apply the raster modelling using software ArcGIS 10.1, geoprocessing tools and programming language Python.

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Correspondence to Pavel Kolisko .

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Kolisko, P. (2015). Examples of the Implementation of Fuzzy Models in Tourism in the South Moravian Region. In: Ivan, I., Benenson, I., Jiang, B., Horák, J., Haworth, J., Inspektor, T. (eds) Geoinformatics for Intelligent Transportation. Lecture Notes in Geoinformation and Cartography. Springer, Cham. https://doi.org/10.1007/978-3-319-11463-7_12

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