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 software systems to model uncertain real world, the natural variability in the environmental phenomena can not 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.
An alternative approach is the fuzzy set theory, which provides a formal
framework to represent and reason with uncertain information. In addition,
linguistic variable concept in a fuzzy logic system is useful for communicating
concepts and knowledge with human beings.
In this thesis, a system to enhance commercial GIS software, namely ArcGIS, with fuzzy set theory is designed and implemented. The proposed system allows users to (a) incorporate human knowledge and experience in the form of linguistically defined variables into GIS-based spatial analyses, (b) handle impreiii cision in the decision-making processes, and (c) approximate complex ill-defined
problems in decision-making processes and classification.
The operation of the proposed system is presented through case studies,
which demonstrate its application for classification and decision-making processes.
This thesis shows how fuzzy logic approach may contribute to a better
representation and reasoning with imprecise concepts, which are inherent characteristics of geographic data stored and processed in GIS.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/1223304/index.pdf |
| Date | 01 January 2003 |
| Creators | Yanar, Tahsin Alp |
| Contributors | Akyurek, Zuhal |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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