DocumentCode :
534206
Title :
Foundation of Assisted Analysis Model for Site Selection of Supermarket and System Development
Author :
Hengkai, Li ; Xiaosheng, Liu ; Qixing, Xu
Author_Institution :
Sch. of Archit. & Surveying Eng., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
Volume :
2
fYear :
2010
fDate :
16-18 July 2010
Firstpage :
114
Lastpage :
117
Abstract :
Assisting analysis model of supermarket site-selecting is established by combining GIS technology and gray appraisal theory. The model includes the sub-models of location-fitness analysis, candidate-site selecting-optimizing and GIS-assisting analysis. Based on the models or sub-models, assisting decision-making system of supermarket site-selecting has been developed. Eventually, the practice has proved that the assisting decision-making system is totally superior to the traditional ones. The function of powerful data managing and analyzing of GIS lets the policy-makers make decisions according to most abundant data. Visualized manifestation of GIS could make the policy-makers find out where the problems are, and how to raise the decision-making level. The establishment of supermarket assisting decision-making system makes the site-selecting more direct, more scientific, and easier to operate, which can improve decision-making efficiency, and reduce its risk degree.
Keywords :
business data processing; decision making; facility location; geographic information systems; risk management; GIS technology; assisted analysis model; assisting decision making system; candidate site selecting optimization; data managing; gray appraisal theory; location fitness analysis; risk degree; site selection; supermarket; Analytical models; Data models; Decision making; Geographic Information Systems; Indexes; Optimization; Roads; GIS; model; site selection of supermarket; system development;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-7621-3
Electronic_ISBN :
978-1-4244-7622-0
Type :
conf
DOI :
10.1109/IFITA.2010.42
Filename :
5634897
Link To Document :
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