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
Link To Document :
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