Title :
Fuzzy least absolutes regression
Author :
Taheri, S.M. ; Kelkinnama, M.
Author_Institution :
Dept. of Math. Sci., Isfahan Univ. of Technol., Isfahan
Abstract :
Fuzzy linear regression model with crisp input, fuzzy output is investigated. A least absolute deviation approach, by introducing and applying a new metric on the space of fuzzy numbers, is developed. In addition, a new capability index is proposed to evaluate the proposed model.
Keywords :
fuzzy set theory; regression analysis; capability index; fuzzy linear regression model; fuzzy numbers; fuzzy output; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Humans; Intelligent systems; Least squares methods; Linear regression; Parameter estimation; Regression analysis; Robustness; Capability index; Fuzzy number; Fuzzy regression; least absolute deviations;
Conference_Titel :
Intelligent Systems, 2008. IS '08. 4th International IEEE Conference
Conference_Location :
Varna
Print_ISBN :
978-1-4244-1739-1
Electronic_ISBN :
978-1-4244-1740-7
DOI :
10.1109/IS.2008.4670509
