Title :
Fuzzy Linear Regression Model
Author :
Zeng, Wenyi ; Zheng, Xin
Author_Institution :
Coll. of Inf. Sci. & Technol., Beijing Normal Univ., Beijing
Abstract :
To estimate the parameters of fuzzy linear regression model with crisp input and fuzzy output, we construct a method based on minimizing the least square errors, and propose some relative conclusions including normal equations, minimum solution, unique solution and their analytical expressions of fuzzy parameters. Finally, one numerical example is used to illustrate our proposed methods reasonable.
Keywords :
fuzzy set theory; least mean squares methods; parameter estimation; regression analysis; fuzzy linear regression model; least square errors; normal equations; Fuzzy least square; fuzzy; fuzzy parameter;
Conference_Titel :
Information Science and Engineering, 2008. ISISE '08. International Symposium on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-2727-4
DOI :
10.1109/ISISE.2008.143
