Abstract
Quality of life has currently been intensively studied and assessed by using a variety of indicators. Information and communication technologies, or more precisely geographical information technologies, prove invaluable in this process. It is clearly difficult to quantify and spatially localize the quality of life. Fuzzy sets allow the capturing of uncertainty. This article deals with the integration of fuzzy sets into a geographical IS to capture, analyse and evaluate selected aspects of the quality of life.
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Bernard, M.: Analysis of results of the strategic noise maps, http://aa.ecn.cz/img_upload/analyza.doc
Czech Astronomical Society: Light Pollution, http://www.astro.cz/znecisteni/
Directorate of Roads and Highways: Trafic intensity in 2005 in the Czech Republic (2005), http://www.rsd.cz/Silnicni-a-dalnicni-sit/Intenzita-dopravy
Hrebicek, J., Soukopova, J., Kutova, E.: Standardization of Key Performance Indicators for Environmental Management and Reporting in the Czech Republic. International Journal of Energy and Environment 4, 169–176 (2010)
Klir, G.J., Yuan, B.: Fuzzy Sets and Fuzzy Logic. Prentice Hall, New Jersey (1995)
Konecny, M., Zlatanova, S., Bandrova, T.L. (eds.): Geographic Information and Cartography for Risk and Crisis Management. Springer, Heidelberg (2010)
Lake, R.: Virtual Globes as Essential Services?, http://www.galdosinc.com/archives/533
Longley, P., Goodchild, M.F., Maguire, D.J., Rhind, D.W.: Geographic Information Systems and Science. John Wiley & Sons Ltd., Vancouver (1981)
Machalova, J.: Modeling of chosen selectable factors of the develop of tourism with geographic IT and Fuzzy sets using. In: Acta univ.agric.et silvic Mendel., Brun., vol. LVIX(1), pp. 189–198 (2011)
Machalova, J.: Definition of fuzzygeoelements in raster representation for decision-making. In: International Symposium Digital Earth, pp. 242–244. Masaryk University, Brno (2004)
Prochazka, D.: On Development of Search Engine for Geodata. In: Acta univ.agric.et silvic Mendel., Brun., vol. LVIII(6), pp. 389–398 (2010)
Sklenička, P.: Protection of Landscape Character in Process EIA. In. Zpravodaj EIA, Ministery of the Environment of the Czech Republic, Praha (2002)
Swanwick, C.: Land use consultants. Landscape Character Assessment – Guidance for England and Scotland. The Countryside Agency – Scottish Natural Heritage, Edinburgh (2002)
Tomlin, C.D.: Geographic Information Systems and Cartographic Modeling. Prentice Hall, New Jersey (1990)
Wilson, J.P., Gallant, J.C.: Terrain Analysis: principles and applications. John Wiley & Sons Ltd., Vancouver (2000)
Zadeh, L.A.: Fuzzy sets. Inf & Control (1965)
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© 2011 IFIP International Federation for Information Processing
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Machalová, J. (2011). Capturing of Uncertainty by Geographical IS in Decision Support for Selected Aspects of Quality of Life. In: Hřebíček, J., Schimak, G., Denzer, R. (eds) Environmental Software Systems. Frameworks of eEnvironment. ISESS 2011. IFIP Advances in Information and Communication Technology, vol 359. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22285-6_10
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DOI: https://doi.org/10.1007/978-3-642-22285-6_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22284-9
Online ISBN: 978-3-642-22285-6
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