Geography Reference
In-Depth Information
Conclusion
Both examples showed the differences between crisp set and fuzzy logic in
spatial analyses and demonstrated the appropriateness of the use of fuzzy
logic for the inclusion of the various characteristics of spatial objects in the
calculations. They also showed the disadvantages at the same time, mainly
worst interpretation of results from user point of view and time for
calculation.
Acknowledgement The work presented in this paper was supported within the project for
Development of Military geography and meteorology and for Support for Mathematical and
Physical Research supported by the Ministry of Defence of the Czech Republic.
References
Ahmad B, Kharal K (2009) FuzzySets, FuzzyS-OpenandS-closed mappings. Adv Fuzzy Syst 5
D ' Amico P, Di Martino F, Sessa S (2013) A GIS as a decision support system for planning
sustainable mobility in a case-study. In Ventre A, Maturo A, Hoskova-Mayerova S, Kacprzyk J
(eds) Multicriteria and multiagend decision making with applications to economics and social
sciences (Studies in fuzziness and soft computing). Springer, Heidelberg, pp 115-128
Di Martino F, Sessa S (2011) Spatial analysis and fuzzy relation equations. Adv Fuzzy Syst
2011:14
ESRI (2013) User documentation. Copyright
1995-2013 ESRI
Kainz W (2007) Fuzzy logic and GIS. University of Vienna, Vienna
Kovarik V (2011) Possibilities of geospatial data analysis using spatial modeling in ERDAS
IMAGINE.
©
In: Proceedings of
the international conference on military technologies
11). University of Defence, Brno, pp 1307-1313
Kovarik V (2014) Use of spatial modelling to select the helicopter landing sites. Adv Mil Technol
89(1):10
MoD-GeoS (2010) Catalogue of the topographic objects DMU25, 7.3 edn. Ministry of Defence of
the Czech Republic, Geographic Service, Dobruska
Rybansky M (2009) Cross-country movement, the impact and evaluation of geographic factors, 1st
edn. Akademick´ nakladatelstv´ CERM, s.r.o. Brno, Brno
Rybansky M, Vala M (2009) Analysis of relief impact on transport during crisis situations.
Moravian Geogr Rep 17(3):19-26
Rybansky M, Vala M (2010) Relief impact on transport. In: International conference on military
technologies (ICMT
(ICMT
'
09). University of Defence, Brno, pp 551-559
STANAG 2999 (2012) Use of Helicopters in land operations doctrine, 9th edn. NATO Standard-
ization Agency (MAS), Brussels
Sunila R, Hottanainen P (2004) Fuzzy model for soil polygons for mapping the imprecision. In:
Proceedings of the StartGIS 2003, P¨rtschach, p 8
Talhofer V, Hoskova-Mayerova S, Hofmann A (2012) Improvement of digital geographic data
quality. Int J Prod Res 50(17):4846-4859
Tatra (2010) Tatra is the solution. (Tatra, a.s.) Retrieved 5 17, 2010, from TATRA: http://partners.
tatra.cz/exter_pr/vp/new/typovy_listprospekt.asp?kod ¼ 341&jazyk ¼ CZ
Zadeh I (1965) Fuzzy sets. Inf Control 8:338-353
'
 
Search WWH ::




Custom Search