Abstract
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.
Highlights
Site selection is the process of finding the suitable sites for a project establishment depending on socioeconomic and environmental criteria [1]
This paper aims to provide decision makers with a ranking model for industrial site selection based on Geographic Information System (GIS)-Fuzzy Analytic Hierarchy Process (FAHP) integration
In [17], following the work cited above, authors value the good selection of an Industrial Site and estimate that 80% of data used in this field by managers are geographical in nature, they feel that the synergistic effect generated by coupling GIS and MultiCriteria Decision Analysis (MCDA) contributes to the efficiency and quality of spatial analysis for industrial site selection, in this work analytic hierarchy process (AHP) and WLC (Weighted Linear Combination) methods are used
Summary
Site selection is the process of finding the suitable sites for a project establishment depending on socioeconomic and environmental criteria [1]. Author in [2] identifies some determining factors in project management literature: 1) The complexity of projects does not depend only on the industry; 2) Project development is not just the realm of the project managers and their team, but there is an important role of stakeholders to play; 3) Uncertainty and continuous change in projects creates a difficulty to plan, and accomplish schedules, resources and budgets This study takes these factors into account with others for selecting industrial sites and shows that a well measured location reduces the project complexity. This paper aims to provide decision makers with a ranking model for industrial site selection based on GIS-FAHP integration. For this model to be more efficient in supporting decision making we propose: 1. The remainder of this article is presented as follows: Section 2 and 3 are devoted to related work and background, the proposed approach and proposed Spatial Decision Support System (SDSS) architecture are in sections and 5, a case study is illustrated in section 6, we end with a conclusion and perspectives
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