摘要
随着大数据时代的来临,数据生成的形态也随之趋于多元化,从过去单一数值演变成多数值的呈现方式,以此贴近社会实践。在统计数据的生成过程中,多值逻辑反映的模糊数据分析方法已逐渐被广泛应用。文章在计数值模糊区间数据形态的条件下,提出测量两个计数区间随机变量的模糊相关系数,并且透过模拟分析及个案数值分析加以验证模糊相关系数的效果,以此为企业经营或政府部门提供政策拟订参考。
With the advent of the era of big data,the types of data generation tend to be diversified,evolving from a single value in the past to a multi-value presentation,which is close to social practice.In the process of statistical data generation,fuzzy data analysis method based on multi-value logic reflection has been widely used.This paper proposes the fuzzy correlation coefficients of two counting interval random variables under the condition of the fuzzy interval data type,and then verifies the effect of the fuzzy correlation coefficient through simulation analysis and case numerical analysis,thus providing reference for the policy formulation of enterprises or government departments.
作者
杨志清
Yang Zhiqing(School of Mathematics and Statistics,Minnan Normal University,Zhangzhou Fujian 363000,China;Fujian Meteorological Big Data Research Institute,Zhangzhou Fujian 363000,China)
出处
《统计与决策》
CSSCI
北大核心
2020年第20期28-32,共5页
Statistics & Decision
关键词
模糊区间
相关权重模糊区间相关系数
标准模糊区间相关系数
计数区间
fuzzy interval
fuzzy interval correlation coefficient with relative weight
standard fuzzy interval correlation coefficient
counting interval
