MAXIMUM LIKELIHOOD ESTIMATION FOR THE DISTRIBUTION OF FUZZY DATA

摘要：

We consider a maximum likelihood estimation (MLE) method when the available samples are taken from a fuzzy population.Based on the embedding theorem for fuzzy data, a general convex compact fuzzy data can be viewed as a random element in square integrable functional space, we employ multivariate distribution functions of random vectors to develop a MLE method for fuzzy data.Some useful properties of MLE are obtained for trapezoidal fuzzy data.

关键词： Maximum Likelihood Estimation Fuzzy Data Linear Functional

作者: DABUXILATU WANG

作者单位: School of Mathematics and Information Science, Guangzhou University, No.230 WaiHuan XiLu,University Town, Guangzhou, 510006, China

会议类型: 国际会议

会议名称: 2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

会议地点: 香港

会议语种:英文

页码: 1184-1189

在线出版日期: 2007-08-19（万方平台首次上网日期，不代表论文的发表时间）