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模糊统计分组法
引用本文:刘小平,杨春德.模糊统计分组法[J].重庆邮电学院学报(自然科学版),1998,10(1):58-59,63.
作者姓名:刘小平  杨春德
作者单位:重庆邮电学院管理工程系
摘    要:由于统计对象带有许多不确定性,即模糊性因素,使统计分组法随着统计对象的日趋复杂而逐渐失去其可靠性。此方法的结果大大提高了统计分组的可靠性。

关 键 词:统计分组法  模糊分组法  生产规模  企业

The Fuzzy Computing Method of Statistic Classification
Liu Xiaoping,Yang Chunde,Chen Fatang.The Fuzzy Computing Method of Statistic Classification[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),1998,10(1):58-59,63.
Authors:Liu Xiaoping  Yang Chunde  Chen Fatang
Abstract:Due to so many uncertainties of the statistic object,i.e, fuzzy factors, the statistic classification method gets to lose its reliability gradually along with the increase of complexity of the statistic object. In this paper, The Mathematical Model of fuzzy statistic classification method (FSCM) is built, and the authors apply the model and attain the FSCM of five large or medium enterprises, and the result is more reliable.
Keywords:statistic classification method  fuzzy classification method  production scale  
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