灰色白化权函数定权聚类模型在合并村庄脆弱性评估中的应用

Application of Fixed Weight Clustering Model for Grey Whitening Weight Function about the Vulnerability Assessment in Merged Village

灰色白化权函数定权聚类模型是根据灰色关联矩阵或灰数的白化权函数值将一些意义、量纲、样本值数量相差较大的观测指标或观测对象划分成若干个可定义类别的方法。文中利用灰色白化权函数定权聚类模型数理意义与合并村庄脆弱性评估目标高度契合的技术特点,运用该模型从外部扰动、敏感性、适应力三个维度对研究区域内8个合并村庄进行脆弱性评估,完善地解决合并村庄脆弱性评估时多维度、多评估对象、多评估指标、多评估等级交织在一起的复杂问题,从而为合并村庄的可持续发展提供决策与参考。

The grey whitening weight function weight clustering model is a method to divide some observation indexes or objects with different meanings,dimensions and large sample values into several definable categories according to the grey correlation matrix or the whitening weight function of grey number.In this paper,the grey whitening weight function weight clustering model is used to evaluate the vulnerability of eight villages in the study area from three dimensions of external disturbance,sensitivity and adaptability.It perfectly solves thecomplex problems of multi-dimensional,multi assessment objects multi assessment indicators and multi assessment levels in the vulnerability assessment about merged villages.To solve the complex problems of multi-dimensional,multi assessment objects,multi assessment indicators and multi assessment levels in the merged village when vulnerability assessment.So as to provide decision-making and reference for the sustainable development of the merged villages.