非参数模糊区间秩相关系数研究及其应用

Research on the rank correlation coefficient of nonparametric fuzzy interval and application

随着模糊区间数据的生成和应用,如何通过更好的方法挖掘更多的数据隐藏信息,已成为当前研究的热点问题.为了探究模糊区间随机变量的相关性问题,解决区间数据无法直接比较、变量样本排序不全面、计算复杂等问题,利用Spearaman秩相关系数的概念,提出一种模糊区间秩相关系数算法,通过蒙特卡洛模拟和汽车维修厂各门店间相关性的实证分析,刻画变量间相关性的波动程度,验证模糊区间秩相关系数方法的合理性和有效性.

How to probe more information hidden in data through innovative algorithm concepts has become a current important research topics where fuzzy interval data is gradually being widely generated.Based on the concept of Spearman's rank correlation coefficient,this paper proposes a rank correlation coefficient of fuzzy interval method for measuring the correlation between interval random variables,and the conclusion that the rank correlation coefficient of fuzzy interval method has rationality and validity is obtained through Monte Carlo simulation and empirical analysis,and the degree of fluctuation of the correlation between variables is shown under the guidance of multiple data.