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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2013(Vol.6, Issue:06)
Article Information:

Application of Fuzzy Set Theory and SPOT Satellite Images in Site Selection of Public Libraries (Case Study: Saqqez City, Iran)

Heydar Dashti Nasserabadi, Himan Shahabi, Soroush Keihanfard, Darush Rahim Mashahi and Mohammadreza Khodakarami
Corresponding Author:  Himan Shahabi 
Submitted: February 04, 2013
Accepted: February 25, 2013
Published: June 30, 2013
Abstract:
Easy availability to public libraries is one of the main keys in successful presentation of public library services with high quality will be valueless for those have not access to them. Availability to services should be configured in such a way that maximizes easiness and facility for potential and de facto users. In present research the required number of public libraries and establishment situation of public libraries in Saqqez city in Kurdistan province in North West of Iran were investigated and evaluated by using fuzzy set theory and SPOT 5 satellite images in 2009. In addition, optimum regions for generation of new public libraries were distinguished in city area in form of recommended map. Results showed that weighting variables classes were determined between 0-1 (profusion proportion). Fuzzification each one of effective factors using IDRISI software terminated and after was assigned type and shape membership function. Final map of suitable regions for construction of new public libraries in saqqez city area indicates that none of the libraries were situated in suitable regions.

Key words:  Adjustment, centralization, fuzzy set theory, GIS, public libraries localization, Saqqez,
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Cite this Reference:
Heydar Dashti Nasserabadi, Himan Shahabi, Soroush Keihanfard, Darush Rahim Mashahi and Mohammadreza Khodakarami, . Application of Fuzzy Set Theory and SPOT Satellite Images in Site Selection of Public Libraries (Case Study: Saqqez City, Iran). Research Journal of Applied Sciences, Engineering and Technology, (06): 1122-1128.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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