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GIS model of a territorial system based on blurred topological spaces
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UDC: 004.986
Publication Language: Russian
Stuc. intelekt. 2016; 21(2):156-169
Abstract: The article deals with an approximate spatial model for solution of decision support problems in complex dynamic systems that include multiple interacting transient spatially distributed processes. The model is based on the imposition of static and dynamic blurred topological spaces, and ensures specified DSS performance requirements.
Keywords: topology, equivalence class, indiscernibility relation, cell, geotaxon, process, state parameter
References:
- Zharikova M. Development of the model of natural emergencies in decision support system / M. Zharikova, V. Sherstjuk // EasternEuropean Journal of Enterprise Technologies. – 2015. – Vol. 4(73). – No. 1. – Pp. 62-69.
- Tolhurst, K. Phoenix: development and application of a bushfire risk management tool / K. Tolhurst, B. Shields, D. Chong // The Australian Journal of Emergency Management. – 2008. – №23(4). – P.47-54.
- Martinez J. Human-caused wildfire risk rating for prevention planning in Spain / J. Martinez, C. VegaGarcia, E. Chuvieco // Journal of Environmental Management. – 2009. – №90. – P.1241-1252.
- Atkinson D. Implementation of quantitative bushfire risk analysis in a GIS environment / D. Atkinson, M. Chladil, V. Janssen, A. Lucieer // International Journal of Wildland Fire. – 2010. – №19. –P.649-658.
- Chuvieco E. Development of a framework for fire risk assessment using remote sensing and geographic information system technologies / E. Chuvieco, I. Aguadoa, M. Yebraa [and others] // Ecological Modelling. – 2010. – №221. – P.46-58.
- Prestemon J. Understanding broadscale wildfire risks in a human-dominated landscape / J. P. Prestemon, J. M. Pye, D. T. Butry [and others] // Forest Science. – 2002. – №48. – P.685-693.
- Preisler H. Probability based models for estimating wildfire risk / H. K. Preisler, D. R. Brillinger, R. E. Burgan [and others] // International Journal of Wildland Fire. – 2004. – №13. – P.133-142.
- Genton M. Spatiotemporal analysis of wildfire ignitions in the St. Johns River Water Management District, Florida / M. G. Genton, D. T. Butry, M. L. Gumpertz, J. P. Prestemon // International Journal of Wildland Fire. – 2006. – №15. – P.87-97.
- Baranovskiy N. A web-oriented geoinformation system for forest fire danger prediction in typical forests of the Ukraine / N. Baranovskiy, M. Zharikova // Thematic cartography for the society. Lecture notes in geoinformation and cartography. – Springer. – 2014. – P. 13-22
- Lee J. Forest fire risk assessment: an illustrative example from Ontario, Canada [Elektr. Resurs] / J. S. W. Lee, W. J. Braun, B. L. Jones, D. G. Woolford, B. Mike // Journal of Probability and Statistics. – 2010. – Rezhym dostupu: URL: http://dx.doi.org/10.1155/2010/823018.
- Zharikova M. Threat assessment method for intelligent disaster decision support system / M. Zharikova, V. Sherstjuk // Advances in Int. Systems and Computing. – Springer, 2016. – Vol. 512. – Pp. 81-99.
- Kainz W. The mathematics of GIS [Elektr. Resurs] / W. Kainz. - Department of Geography and Regional Research, University of Vienna, 2010.–170p.Rezhym dostupu: URL: http://dx.doi.org/10.1155/2010/823018.
- Yao Y. Two views of the theory of rough sets in finite universes / Y.Y. Yao // Int. J. of Approximate Reasoning. – 1996. – Vol. 15. – №4. – Pp. 291-317.
- Slowinski R. Rough set and rule-based multicriteria decision aiding / R. Slowinski // Pesqui. Oper. – 2012. – Vol. 32. – №2. – Pp. 213-270.