Mining Regression-Classes in Fuzzy Point Data Sets

Regression-class is defined as a subset of the data set that is subject to a regression mode. Mining regression-class in heterogeneous data sets is attracting much attention in a variety of disciplines. Traditional data sets can´t reflect prior information of data. In this paper, we consider ¿fuzzy point data sets¿, which is defined by giving a fuzzy membership to the data in exact data sets, for helping us handle the confidence of data. We introduce regression-classes mixture decomposition method for mining regression classes in fuzzy point data sets. In the method, different regression-classes are mined sequentially in fuzzy point data sets. Numerical experiments show that by using fuzzy data point data, important data can make much contribution to regression-classes.