DocumentCode
1629681
Title
Fuzzy linear regression analysis by symmetric triangular fuzzy number coefficients
Author
Ghoshray, Sabyasachi
Author_Institution
Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA
fYear
1997
Firstpage
307
Lastpage
313
Abstract
Fuzzy regression analysis using fuzzy linear models with symmetric triangular fuzzy number coefficients has been formulated earlier. The goal of this regression is to find the output for all data sets. In this research, we have formulated a newer fuzzy linear regression model that uses symmetric triangular coefficient. The uniqueness of our model lies in the fact that this can be extended to use nonsymmetric fuzzy triangular coefficient that eradicates the drawbacks of existing fuzzy linear regression models
Keywords
fuzzy systems; modelling; statistical analysis; fuzzy linear models; fuzzy linear regression analysis; nonsymmetric fuzzy triangular coefficient; symmetric triangular fuzzy number coefficients; Automatic logic units; Equations; Fuzzy sets; Fuzzy systems; Input variables; Linear regression; Linear systems; Mathematical model; Regression analysis; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Engineering Systems, 1997. INES '97. Proceedings., 1997 IEEE International Conference on
Conference_Location
Budapest
Print_ISBN
0-7803-3627-5
Type
conf
DOI
10.1109/INES.1997.632436
Filename
632436
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