摘要
灾害等级被用来表示灾害所造成的社会损失大小。主成分分析法能够在保证原始数据信息损失最小的情况下,以少数的综合变量取代原有的多维变量,使数据结构大为简化,并且客观地确定权数,避免了主观随意性,因而是灾害等级综合评价的一种简单易行的有效方法。通过主成分分析,可以为减灾的分区和分级管理提供重要的理论依据。
The disaster grade is used to express the degree of social loss caused by disaster The principal component analysis could substitute a small number of comprehensive variables for original multidimensional variables and greatly simplify data structure in the precondition of minimizing loss of original data information The principal component analysis could objectively give weight and avoid subjective random problem So, it is a simple and efficient method of comprehensive evaluation of the disaster grade The principal component analysis can provide the important theoretical basis for regional and different levels′management of disaster reduction
出处
《灾害学》
CSCD
2002年第4期16-20,共5页
Journal of Catastrophology
关键词
灾害等级
变量
数据信息
主成分分析
综合评价
disaster grade
target
variable
data information
principal component analysis
comprehensive evaluation
