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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338–353
Zadeh LA (1975) The concept of a linguistic variable and its application to approximate reasoning. Inf Sci 8(3):199–249
Kainz W (2010) mathematical principles of GIS. Available via DIALOG. http://homepage.univie.ac.at/Wolfgang.Kainz/Lehrveranstaltungen/15th_Nordic_Summer_School/The_Mathematics_of_GIS_Draft.pdf. Accessed 10 Oct 2013
Jura P (2003) Základy fuzzy logiky pro řízení a modelování. VUTIUM, Brno
Navara M, Olšák P (2002) Základy fuzzy množin. Skriptum ČVUT, Praha
Kolesárová A, Kováčová M (2004) Fuzzy množiny a ich aplikácie. Slovenská technická univerzita, Bratislava
Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man Mach Stud 7(1):1–13
Modrlák O (2004) Teorie automatického řízení II. - Fuzzy řízení a regulace. Technická universita v Liberci, Praha
Machalova J (2011) Modelling of chosen selectable factors of the develop of tourism with geographic it and fuzzy sets using. Acta Univ. Agric. et Silvic. Mendel. Brun. LIX(2): 189–198
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this chapter
Cite this chapter
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
Download citation
DOI: https://doi.org/10.1007/978-3-319-11463-7_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11462-0
Online ISBN: 978-3-319-11463-7
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)