地下空间资源质量熵权与可变模糊集组合评估

Integrated Entropy Weight and Variable Fuzzy Sets Evaluation Approach for Underground Space Resource Quality Problem

提出了地下空间资源质量的熵权——可变模糊集(EW-VFS)组合评估方法.EW-VFS采用熵权法构造了地下空间资源质量评估指标权重系数的熵值模型,基于可变模糊集理论建立了地下空间资源质量可变模糊评估模型.以北京中央商务区(CBD)为例,采用EW-VFS评估方法对地下空间资源质量进行了评估,通过数值实验验证了EW-VFS的准确性,并在GeoMo3D系统中进行了建模与评估,得到了3D可视化结果.研究表明:熵权法能够根据数据本身的信息无序化程度来确定评估指标的重要性,有效地降低了评估的主观性;可变模糊评估模型通过参数的可变性,自我验证了评估方法的可靠性.

In order to provide decision supporting for urban underground space development, a new evaluation approach for underground space resource quality was presented by means of combination entropy weight with variable fuzzy sets （EW-VFS）. To determine weight coeffi- cient of quality indexes of underground space resource, an entropy model was constructed by employing the entropy theory. Based on the variable fuzzy sets theory, a variable fuzzy evaluation model for underground space resource quality was presented. Taking the central business district （CBD） of Beijing as an application case, underground space resource quality was evalu- ated by EW-VFS evaluation method, and numerical experiments were included to illustrate ac- curacy of the EW-VFS method. Through spatial modeling, data treatment and parameter eval- uation, a group of three-dimensional visualization evaluation results were obtained. The results show that the entropy weight method can mine the importance of evaluation indexes according to disorder level of date information, so the subjectivity of evaluation is lower than common e- valuation approaches. The reliability of evaluation method is also verified itself through variability of variable fuzzy evaluation model parameter.