A MCDM Based on Goal Programming and GIS-Based Risk Assessment for the Evaluation of Educational Locations in Conflict Areas

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
J. Hallak, Elifcan Göçmen Polat
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引用次数: 0

Abstract

Abstract Conflict is recognized as a major barrier in socio-economic development. In conflict situations, most sectors such as health, food, shelter and education are adversely affected. The provision of education services to conflict-affected children saves them from becoming a lost generation and contributes to community building. Thus, we conducted this research to investigate the potential of a GIS (Geographic Information Systems) approach and risk assessment based multi-criteria decision making (MCDM) for the allocation of displaced dropped-out children to the most appropriate educational centres, taking into account multiple goals related to cost, distance, risk, etc. A two-stage approach was adopted, utilizing a risk assessment approach, and a location-allocation approach. The risk assessment approach was carried out using GIS and F-AHP (Fuzzy Analytic Hierarchy Process) to determine the risk value of each candidate educational centre in the conflict area. In the location-allocation stage, a mathematical model was developed to allocate all demands to the chosen centres. All presented methods were computationally conducted on real case data provided by direct beneficiaries and stakeholders in the 26 sub-districts in the Idleb governorate, Syria. The computational results demonstrate that the proposed approaches ensure practical and theoretical impacts.
基于目标规划和gis风险评估的冲突地区教育选址MCDM
冲突被认为是社会经济发展的主要障碍。在冲突局势中,卫生、粮食、住房和教育等大多数部门都受到不利影响。向受冲突影响的儿童提供教育服务使他们免于成为迷失的一代,并有助于社区建设。因此,我们进行了这项研究,以调查GIS(地理信息系统)方法和基于风险评估的多标准决策(MCDM)在将流离失所的辍学儿童分配到最合适的教育中心方面的潜力,同时考虑到与成本、距离、风险等相关的多个目标,利用风险评估方法和位置分配方法。风险评估方法使用GIS和F-AHP(模糊层次分析法)来确定冲突地区每个候选教育中心的风险值。在位置分配阶段,开发了一个数学模型,将所有需求分配给选定的中心。所有提出的方法都是根据叙利亚伊德利卜省26个分区的直接受益人和利益攸关方提供的真实案例数据进行计算的。计算结果表明,所提出的方法确保了实际和理论的影响。
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
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