This paper presents change point analysis for stock market time series where it is assumed the rate of return on securities is approximated as LR-fuzzy numbers. We consider the change point detection in the mean and variance of returns. The methods are proposed and their theoretical aspects are studied. A real data set is also considered. Finally, a conclusion sectionis given
