会议专题

Linear Rank Tests with Imprecise Observations

  This paper extends the problem of general non-parametric linear rank tests in the case where the available samples of observations are imprecise and the level of significance is also a fuzzy number.To do this, the usual concepts of test statistic, and critical value are extended to the fuzzy test statistic and fuzzy critical value, by using the α-cuts approach.This paper also provides an example to clarify the approach in this paper.

fuzzy statistic hypothesis test linear rank test credibility measure

G.Hesamian S.M.Taheri

Department of Mathematical Sciences,Isfahan University of Technology,Isfahan,Iran,84156-83111

国内会议

第九届中国不确定系统年会、第五届中国智能计算大会、第十三届中国青年信息与管理学者大会

南京

英文

402-412

2011-07-27(万方平台首次上网日期,不代表论文的发表时间)