Examples of the Implementation of Fuzzy Models in Tourism in the South Moravian Region - Geoinformatics for Intelligent Transportation - page 180

depending on the required target group (family with children, recreational sports-
man and athlete).
There are some inaccuracies and problems especially on the connections of the
miscellaneous types of roads. I have some ideas to improve the actual bike rating
and remove the found mistakes. It is the opportunity to use more rules in Mam-
dani s method or eventually add other linguistic variables such as elevation and

road length.

'

References

1. Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338 - 353
2. Zadeh LA (1975) The concept of a linguistic variable and its application to approximate
reasoning. Inf Sci 8(3):199 - 249
3. 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
4. Jura P (2003) Z á klady fuzzy logiky pro ří zen í a modelov á n í . VUTIUM, Brno

5. Navara M, Ol šá k P (2002) Z á klady fuzzy mno ž in. Skriptum Č VUT, Praha

6. Koles á rov á A, Kov áč ov á M (2004) Fuzzy mno ž iny a ich aplik á cie. Slovensk á technick á

univerzita, Bratislava
7. Mamdani EH, Assilian S (1975) An experiment in linguistic synthesis with a fuzzy logic
controller. Int J Man Mach Stud 7(1):1 13

-

8. Modrl á k O (2004) Teorie automatick é ho ří zen í II. - Fuzzy ří zen í a regulace. Technick á

universita v Liberci, Praha
9. 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