The enhancement of the cell-based GIS analyses with fuzzy processing capabilities

Date

2006-04-22

Author

Yanar, TA
Akyürek, Sevda Zuhal

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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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Citation Formats

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.