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The enhancement of the cell-based GIS analyses with fuzzy processing capabilities
Date
2006-04-22
Author
Yanar, TA
Akyürek, Sevda Zuhal
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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In order to store and process natural phenomena in Geographic Information Systems (GIS) it is necessary to model the real world to form computational representation. Since classical set theory is used in conventional GIS softwares to model uncertain real world, the natural variability in the environmental phenomena cannot be modeled appropriately. Because, pervasive imprecision of the real world is unavoidably reduced to artificially precise spatial entities when the conventional crisp logic is used for modeling.
Subject Keywords
Control and Systems Engineering
,
Theoretical Computer Science
,
Software
,
Information Systems and Management
,
Artificial Intelligence
,
Computer Science Applications
URI
https://hdl.handle.net/11511/37323
Journal
INFORMATION SCIENCES
DOI
https://doi.org/10.1016/j.ins.2005.02.006
Collections
Department of Civil Engineering, Article
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T. Yanar and S. Z. Akyürek, “The enhancement of the cell-based GIS analyses with fuzzy processing capabilities,”
INFORMATION SCIENCES
, pp. 1067–1085, 2006, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/37323.