摘要
在大数据的背景下,运用模糊数据统计分析的理论与方法越来越受到重视。本文论述了模糊数据统计中存在的自然扩张和联合扩张问题,指出了统计量自然扩张的错误并给出了联合扩张的解决方案,利用模糊数的结构元表达方法构建了几个重要样本公式,它们是模糊数据统计分析的重要工具。
In the context of big data,theories and methods using statistical analysis of fuzzy data are receiving more and more attention.This paper discusses the problems of natural expansion and joint expansion in fuzzy data statistics,points out the error of natural expansion of statistics and gives the solution of joint expansion.Several important sample formulas are constructed by using the structural element expression method of fuzzy numbers.They are an important tool for statistical analysis of fuzzy data.
作者
郭嗣琮
赵小倩
GUO Si-zong;ZHAO Xiao-qian(Institute of Intelligent Engineering and Mathematics,Liaoning Technical University,Fuxin 123000,China)
出处
《模糊系统与数学》
北大核心
2019年第3期98-106,共9页
Fuzzy Systems and Mathematics
关键词
模糊结构元
模糊统计量
Fuzzy Structured Element
Fuzzy Statistics
