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基于可能性准则的一元累积和控制图
引用本文:王达布希拉图.基于可能性准则的一元累积和控制图[J].广州大学学报(自然科学版),2007,6(5):23-26.
作者姓名:王达布希拉图
作者单位:广州大学,数学与信息科学学院,广东,广州,510006
基金项目:教育部留学回国人员科研启动基金项目(2005-546),广州市教育局高校科技计划项目(62033)资助~~
摘    要:基于过程检验统计量模糊化后的隶属函数确定的可能性分布,提出了一种对质量模糊特性进行累积和控制的方法,其中应用了一类新的距离概念、新的方差和样本方差.将LR-型质量数据看作中心值变量服从正态,二扩展变量服从均匀分布的模糊随机变量,进而对过程均样本作近似正态处理,根据Kruse-Meyer对模糊数据假设检验的方法,给出了独立观测下一元累积和控制的可能性准则.

关 键 词:累积和控制图  模糊集  可能性分布
文章编号:1671-4229(2007)05-0023-04
修稿时间:2007-04-23

An univariate CUSUM control chart based on possibility rule
WANG Dabuxilatu.An univariate CUSUM control chart based on possibility rule[J].Journal og Guangzhou University:Natural Science Edition,2007,6(5):23-26.
Authors:WANG Dabuxilatu
Institution:School of Mathematics and Information Sciences, Guangzhou University, Guangzhou 510006, China
Abstract:We propose a cumulative sum control method based on possibility distribution determined by the membership function of fuzzified test statistics for quality control chart centering on fuzzy items of products quality,where a sort of novel distance,variance and sample variance is applied,and the LR-quality data is viewed as a fuzzy random variable with normally distributed central variable and two uniformly distributed spread variables,so that the process mean sample can be treated as approximately normal.According to hypothesis testing methods for fuzzy data proposed by Kruse-Meyer,a possibiliy rule for univariate Cumulative Sum(CUSUM) control chart under independent observations is presented.
Keywords:cumulative sum chart  fuzzy sets  possibility distribution
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