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Fuzzy Modeling Approach Based On Property Location Quality For Grading Neighborhood Level Of Family Housing Units

机译:基于属性位置质量的家庭住房单元邻里等级分级的模糊建模方法

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More recently Turkey has witnessed fast housing development and real estate sector growth because of the mortgage preparations. With this development, property location quality has been considered important for selecting and paying them. It is aimed to examine the applications of grading property at the neighborhood level based on property location quality by testing traditional method and fuzzy logic method. This study uses a data set of new single-family housing units in Kocaeli University Campus Area. By using four location quality criteria, 27 single-family housing units are graded at the neighborhood level. This paper provides understanding fuzzy logic grading approach at the neighborhood level based on property location quality that is more accurate and realistic than traditional grading approach.
机译:最近,由于抵押贷款准备工作,土耳其见证了住房发展和房地产行业的快速增长。随着这种发展,物业位置的质量已被认为对选择和付款很重要。旨在通过测试传统方法和模糊逻辑方法,在属性定位质量的基础上,研究邻域级别属性的应用。这项研究使用了Kocaeli大学校园区域内新的单户住房单元的数据集。通过使用四个位置质量标准,在邻域级别对27个单户住房单元进行了评级。本文提供了基于属性位置质量的邻域级别的模糊逻辑分级方法的理解,该方法比传统的分级方法更准确,更现实。

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