运用基于熵的多属性决策方法进行街道选取

Street Selection Using Entropy-Based Multi-Attribute Decision Making Method

街道选取是城市大比例尺地图综合的重要研究内容。提出了基于熵的多属性决策方法进行街道选取。首先,对离散街道弧段通过Stroke构建方法进行连接处理,将弧段连接成的Stroke作为选取单元;其次,根据街区概括的一般原则,选定若干评价指标,定量评价Stroke重要性资格;最后,利用方根模型计算街道选取数量,完成街道定额选取,最终实现街区形状概括。该方法把属性和几何方法的结合,将几何因素的考量内化于属性,可避免赋权的主观性,提高其客观性和准确性。实验验证了本方法的科学性。

Street selection is an important research content in the process of urban large-scale map generalization. A multi-attribute decision-making method based on entropy is proposed for street selection. Firstly, the discrete street arcs were connected by Stroke construction method, and the arcs were connected into Stroke as the selection unit. Secondly, according to the general principle of block generalization, several evaluation indexes were selected to quantitatively evaluate the importance qualification of Stroke. Finally, the square root model was used to calculate the number of street selection, complete the selection of street quota, and finally achieve th summary of block shape. This method combines attributes with geometric methods, internalizes the consideration of geometric factors into attributes, avoids the subjectivity of empowerment, and improves its objectivity and accuracy. Experiments verify the scientificity of this method.