基于主成分和熵权的房地产投资环境评价

Based on principal component analysis and entropy analysis of the real estate investment environment evaluation

在房地产投资环境的评价过程中,评价指标往往考虑的因素比较多,评价过程比较繁琐。本文用主成分分析的方法在评价的过程中选取指标的主成分,对评价指标进行约简,提高评价的效率。在对评价指标进行赋权时,主成分分析方差贡献率赋权的方法不能使权重归一。为了保证指标赋权信息统一性,用信息熵的原理客观的给定指标的权重,保证指标的合理。最后应用案例用改进的指标和确定的指标权重对方案进行综合评价,得分排名符合其合理性。

In the process of real estate investment environment evaluation, there are a lot of evaluation index, and the evaluation process is complicated. This article use the method of principal component analysis in the process of evaluation indicators of the principal components, reduction of the evaluation index, improves the efficiency of evaluation. In the process of empowerment of evaluation index, principal component analysis of variance method cant make the weight value to the contribution rate of empowerment. In order to ensure unity weighting information, the information entropy principle is giv- en the weights of objectivity and reasonable assurance indicators. Finally, a case with indicators improved and the index weight of scheme determined was implicated for comprehensive evaluation. The results verify its rationality.