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    • Revista IJIMAI
    • 2017
    • vol. 4, nº 6, december 2017
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    • UNIR REVISTAS
    • Revista IJIMAI
    • 2017
    • vol. 4, nº 6, december 2017
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    Combining Fuzzy AHP with GIS and Decision Rules for Industrial Site Selection

    Autor: 
    Taibi, Aissa
    ;
    Atmani, Baghdad
    Fecha: 
    12/2017
    Palabra clave: 
    Geographic information system; multi-criteria decision analysis; industrial site selection; fuzzy analytic hierarchy process; decision rules; IJIMAI
    Revista / editorial: 
    International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)
    Tipo de Ítem: 
    article
    URI: 
    https://reunir.unir.net/handle/123456789/11831
    DOI: 
    http://doi.org/10.9781/ijimai.2017.06.001
    Dirección web: 
    https://ijimai.org/journal/bibcite/reference/2629
    Open Access
    Resumen:
    This study combines Fuzzy Analytic Hierarchy Process (FAHP), Geographic Information System (GIS) and Decision rules to provide decision makers with a ranking model for industrial sites in Algeria. A ranking of the suitable industrial areas is a crucial multi-criteria decision problem based on socio-economical and technical criteria as on environmental considerations. Fuzzy AHP is used for assessment of the candidate industrial sites by combining fuzzy set theory and analytic hierarchy process (AHP). The decision rule base serves as a filter that performs criteria pre-treatment involving a reduction of their numbers. GIS is used to overlay, generate criteria maps and for visualizing ranked zones on the map. The rank of a zone so obtained is an index that guides decision-makers to the best utilization of the zone in future.
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    • vol. 4, nº 6, december 2017

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