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Showing Abstract of Optimal Site Location for Residents' Temporal Dwelling for Crisis Management based on Intelligent GIS

 
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[ Downloads: 0 | Abstract Viewed: 94 | Pages: 10 ]

Title

Optimal Site Location for Residents' Temporal Dwelling for Crisis Management based on Intelligent GIS

Topic: Disaster Management Published Year: 2006
Presentation: oral
Published in:

[ 1st International Conference on Integrated Natural Disaster Management ]

Original Language: Persian Full Text Size: Not Available

 

Abstract of the Article

 

Note: English CIVILICA is in its Trial Period so Full Texts can not be provided! Persian users can download it here

Download This article in PDF format Optimal Site Location for Residents' Temporal Dwelling for Crisis Management based on Intelligent GIS

 

Authors:
[ Farhan Samad zadeghan ] - Assistant professor of Tehran University
[ Rahim ali abbas puor ] -
[ parham pahlavani ] -

 

Abstract:

One of the main problems in disaster management especially in unpredictable events is locating the citizens’ residential places. Due to the diversity of affecting parameters and factors, it is considered as a complex problem. In this paper, Geospatial Information System (GIS) based on fuzzy logic is used to the decision making of this multi-criteria locating problem. To do this, at the first stage, suitable linguistic variables (position, size, distance) and labels are defined to model this problem. Then, the linguistic rules are created in the knowledge-base of fuzzy reasoning system to describe the criteria and constraints of the problem. The proposed method determines the degree of fitness of each candidate places, i.e. parks in our case study To evaluate the proposed method, a 1:2000 scale urban map of Tehran, which contains the different layers such as the medical and facility centers are used as the spatial information base of system. The best places among the candidates are chosen to allocate the citizens after the earthquake. The results of proposed method show the high capabilities comparing to common traditional approaches.

 

Keywords:

Crisis management, GIS, Decision making, Artificial intelligence, Uncertainty, Modeling

 

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