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Multicriteria Decision Aided System for Ranking Industrial Zones (RPRO4SIGZI)

Authors

AissaTaibi and BaghdadAtmani, Université d'Oran 1 Ahmed Benbella, Algeria

Abstract

Integration of Geographic Information Systems (GIS) and multi-criteria decision analysis (MCDA) is a privileged and indispensable way to evolve GIS into real decision support systems. RPRO4SIGZI, the system proposed in this paper allows, from a detailed study of geographical, environmental and socioe-conomic criteria to cooperate GIS and multi-criteria decision analysis method for spatial choosing of the right site for installing industrial projects. The result obtained by RPRO (Ranking PROMETHEE) for ranking industrial zones in western Algeria is refined by a viewing SIGZI (Geographic Information System for Industrial Zones). The RPRO unit rank industrial zones using the outranking PROMETHEE II method issue from European school and SIGZI module to the visualization of these zones on the map. RPRO4SIGZI system was designed for the evaluation of a new methodology of multi-criteria analysis guided by data mining. The objective is to show how data mining is used to model the preferences of the decision maker tainted with subjectivity and hesitance to generate suitable performance tables. Only RPRO4SIGZI system is presented in this paper.

Keywords

Geographic Information System (GIS), multi-criteria decision analysis (MCDA), Industrial Zones, MCDA-GIS integration, Cartography, PROMETHEEII.

Full Text  Volume 6, Number 5