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VALUATIONS OF BUILDING PLOTS USING THE AHP METHOD
International Journal of Strategic Property Management ( IF 2.591 ) Pub Date : 2019-02-18 , DOI: 10.3846/ijspm.2019.7952
Fatma Bunyan Unel 1 , Sukran Yalpir 2
Affiliation  

Predicting the value of real estate is a complex endeavor due to the abundance of subjective criteria. Objective consideration of the value-affecting criteria in real estate and regulation of decision support systems will enable the acquisition of more accurate results. In this study, analytic hierarchy process (AHP), a type of multi-criteria decision analysis (MCDA), is used to reproduce coefficients that serve as the basis for real estate valuation. A region in the Selcuklu district of Konya, Turkey was used to test the model created by AHP. Weighted criteria describing areas subjected to purchase/sale were generated by the AHP method and then validated. Additionally, a valuation model was created by the multiple regression analysis (MRA) method for comparison and performance analyses. Weighted values were transformed from AHP points and acquired from the MRA method and then joined with geographic information systems (GIS). Value maps of the study area and purchase/sale values were generated according to these newly created models. The performance comparison and value maps revealed that the AHP method is more successful than the MRA method. This study addressed the complexity of criteria issue by using the original hierarchical structure of AHP and thus contributes to the world economy by enabling the generation of more accurate estimations.

中文翻译:

基于AHP方法的建筑地块评估

由于存在大量的主观标准,因此预测房地产的价值是一项复杂的工作。客观考虑房地产中影响价值的标准和决策支持系统的监管,将能够获得更准确的结果。在这项研究中,层次分析法(AHP)是一种多准则决策分析(MCDA),用于再现系数,这些系数用作房地产评估的基础。土耳其科尼亚Selcuklu区的一个区域用于测试AHP创建的模型。通过AHP方法生成描述购销区域的加权标准,然后进行验证。此外,通过多元回归分析(MRA)方法创建了一个评估模型,以进行比较和性能分析。加权值从AHP点进行转换,并从MRA方法获取,然后与地理信息系统(GIS)结合在一起。根据这些新创建的模型,生成了研究区域的价值图和购买/销售价值。性能比较和价值图显示,AHP方法比MRA方法更成功。这项研究通过使用层次分析法的原始层次结构解决了准则问题的复杂性,从而通过生成更准确的估算值为世界经济做出了贡献。性能比较和价值图显示,AHP方法比MRA方法更成功。这项研究通过使用AHP的原始层次结构解决了标准问题的复杂性,因此通过生成更准确的估算值为世界经济做出了贡献。性能比较和价值图显示,AHP方法比MRA方法更成功。这项研究通过使用层次分析法的原始层次结构解决了准则问题的复杂性,从而通过生成更准确的估算值为世界经济做出了贡献。
更新日期:2019-02-18
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