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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.
Proposed an entropy weight-variable fuzzy set (EW-VFS) combination evaluation method for underground space resource quality.EW-VFS uses entropy weight method to construct the entropy model of underground space resource quality evaluation index weight coefficient, based on the variable fuzzy Set up a variable fuzzy evaluation model of underground space resources quality.With Beijing Central Business District (CBD) as an example, the quality of underground space resources was evaluated by EW-VFS method, and the accuracy of EW-VFS was verified by numerical experiments And the 3D visualization results are obtained through modeling and evaluation in GeoMo3D system.The research shows that the entropy weight method can determine the importance of the evaluation index according to the degree of disorder of the data itself and effectively reduce the evaluation of Subjectivity; Variable fuzzy assessment model through the variability of parameters, self-validation of the reliability of the assessment method.