Spatial Decision Making as a branch of decision making science deals
with geographically related data in order to achieve complex spatial decision
problems. Fuzzy set theory is one of the methods that can be used to come
up with these types of problems. On the other hand, Geographical
Information Systems (GIS) is one of the most powerful tools that we can use
to accomplish spatial decision problems. Selection of the suitable site or
land-use for the real estate is also a spatial decision making problem. When
we consider the initial dynamics of the suitably located property from the
point of view of value and potential we observe that the &ldquo / good location&rdquo / is the
dominating factor. This study reports on the development of a kind of
decision support system for locational suitability of settlements that integrates
the fuzzy set (FZ) theory, a rule-based system (RBS) and GIS. This study is
thought as the assistant for the property managers that are buyers and
sellers. It can function as the property consultant for the buyers when they
are looking for a property to buy and also it helps the real estate agencies to
sell their properties. On the other hand, different scenarios of the potential
areas according to the different user&rsquo / s preferences are depicted and they are
joined and compared with the results of the vulnerability to earthquake
hazards&rsquo / of the same area. Odunpazari - Eskisehir area is selected for
implementation of the case study because of the data availability. As a result
of this study, it can be said that most suitable property changes depending on
the people&rsquo / s preferences. In addition, it is seen that most of the buildings that
are locationally suitable are highly vulnerable to the earthquake hazards.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/2/12607017/index.pdf |
| Date | 01 February 2006 |
| Creators | Ercan, Ismail |
| 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 METU campus |
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