多元模糊数据的假设检验方法  

Statistical Hypotheses Testing Method for Fuzzy Multivariate Data

作　　者：郑文瑞[1] 丁栋全 

机构地区：[1]吉林大学数学所,吉林长春130012

出　　处：《模糊系统与数学》2007年第6期123-127,共5页Fuzzy Systems and Mathematics

摘　　要：模糊假设检验对处理模糊概念进行决策分析是很重要的。本文给出了一个模糊多元数据的假设检验方法。因为数据是模糊的,不能在一个清晰的置信水平上接受或拒绝原假设,故本文提出了一个与结果相关联的可信度的概念。为了能应用清晰数据的假设检验,本文引入了模糊数的δ-截概念。Fuzzy hypotheses testing is very important for finding decision dealing with fuzzy concepts. This paper presents a method of hypotheses testing for fuzzy multivariate numbers. Because in this paper the data are always supposed to be fuzzy, null or alternative hypotheses shouldn＇t be accepted at a significance level in a precise sense as usual. In this case the notion of degree of confidence which is connected with the result is proposed. And for the sake of invoking usual method of statistical hypotheses testing, the δ-cut of fuzzy data is transacted.

关 键 词：模糊多元数据 模糊数 δ-截 可信度 

分 类 号：O159[理学—数学]