摘要
研究了单指标数据序列的几种无量纲化变换及其性质 ,提出了一种对灰色斜率关联度的改进模型 ,改进后的关联度能够反映序列的正、负相关关系 ,并且对原始序列进行无量纲化变换处理时不影响关联系数及关联度的值 ,还研究了改进的关联度及关联系数的性质。该方法充分利用了序列各时点的信息及正、负相关性 ,所得关联分析结果较为客观可靠 。
Several non-dimensionalization changings of single-index data sequence and their characteristics are studied in this paper. An improvement model on degree of grey slope incidence is developed. The improved one can reflect the positive and negative relation of sequence and by the model the value of the degree and coefficient of grey incidence does not change with any non-dimensionalization processing on the raw sequence. At the same time, the characteristics of the degree and the coefficient of grey incidence are studied. It is found that this method makes good use of the information of every timetable and its correlation of positive or negative, and the result of grey incidence analysis by this method is more scientific than before and is easier to calculate on the computer.
出处
《中国工程科学》
2004年第3期41-44,共4页
Strategic Study of CAE
基金
教育部博士点基金资助项目 (2 0 0 2 0 2 870 0 1)
江苏省自然科学基金重点资助项目 (BK2 0 0 3 2 11)
关键词
关联度
斜率
无量纲化变换
数据序列
degree of grey incidence
slope
non-dimensionalization changing
data sequence
