离散数据的归一化处理在计税核价系统中应用研究

Research on Application of Normalization of Discrete Data in the Tax Evaluation System

过去40年,我国活跃的房地产市场交易已经使得我国部分大城市逐步进入存量房市场,这对评估系统的准确性提出了更高要求。在分析目前房地产评估过程中数据存在的问题基础上,结合空间的垂直、水平和时间等多维度考虑,分析和定义了相关概念,提出房地产适应性估价模型和平均数校准归一的计算方法,以期充分体现影响房地产价格的各项实体因素和区位因素,减小数据差异性引入的不准确性,进而实现高精度、低成本的系统、科学、客观地批量评估目标。最后,以上海市某小区为例进行实证分析计算。

In the past 40 years,the active real estate market transactions in China have made some bigcities gradually enter into the stock housingmarket,which puts forward higher requirements for the accuracy of the evaluation system.This paper first analyzes the problems existingin the data of the current real estate appraisal process,analyzes and defines the relevant concepts in combination with the multi-dimensional consideration of the vertical,horizontal and time of space,and puts forward the calculation method of the real estate adaptive appraisal model and the calibration of the average,in order to fully reflect the various entity factors and location factors that affect the real estate price and reduce the introduction of data differences,and achieve the goal of high precision and low cost system,scientific and objective batch evaluation.Finally,an example of a residential area in Shanghai is given for empirical analysis and calculation.