Interval Estimation of Data Series with Poor Information Using Fuzzy Norm Method

摘要：

Based on the fuzzy set theory and the norm theory, the fuzzy norm method is proposed to solve some of problems about interval estimation under the condition of poor information system with unknown probability distributions and small samples. By extracting difference value information from data series, the membership function and empirical distribution function are defined with a minimum of the maximum norm, thus the estimated interval of poor information system are obtained, having the over 95% confidence level and the below 15% relative error.

关键词： information poor system random process interval estimation fuzzy set norm

作者: Xintao Xia

作者单位: College of Mechatronical Engineering Henan University of Science and Technology Luoyang, China

会议类型: 国际会议

会议名称: Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)

会议地点: 上海

会议语种:英文

页码: 158-163

在线出版日期: 2009-12-26（万方平台首次上网日期，不代表论文的发表时间）