摘要
在"互联网+"背景下,针对大数据在房地产估价行业中的应用问题,以市场法为例,引入熵权法,对房地产价格影响因素进行科学赋权,并通过该方法来量化可比实例与估价对象的相似度,从而帮助估价师更加可靠地选取可比实例,为房地产估价行业的互联网大数据利用提供参考。研究结果表明,大数据可以通过深入挖掘,有效分析各类房地产的价格规律,推动估价方法的改进升级,提升行业效率。但是房地产数据在搜集、处理及应用上还存在诸多难点,需要通过大数据建设、规范相关制度、建立大数据标准来进一步深化大数据在房地产估价中的运用。
Regarding the application of big data in the real estate appraisal industry,this article takes the market law as an example,introduces the entropy method to scientifically weight the influencing factors of real estate prices,and uses this method to quantify the similarity between the comparable examples and the appraisal objects,to help appraisers to more reliably select the comparable examples,and provide reference for the use of Internet big data in the real estate appraisal industry.The research result shows that through in-depth mining,big data can effectively analyze the price law of various types of real estates,promote the improvement and upgrade of valuation methods,and enhance the efficiency of the industry.However,there are still many difficulties in the collection,processing and application of real estate data.Thus,it is necessary to further deepen the application of big data in real estate appraisal through the construction of big data and related regulations,and establishing big data standards.
作者
陈玲
CHEN Ling(Fuzhou University of International Studies and Trade,Fuzhou 350200,China)
出处
《青岛大学学报（自然科学版）》
CAS
2021年第3期133-139,共7页
Journal of Qingdao University(Natural Science Edition)
基金
福建省教育厅中青年教师教育科研项目(批准号:JAT190903)资助。
关键词
互联网+
房地产估价
熵权法
市场法
Internet+
real estate valuation
entropy method
market method
