Title :
Solving fuzzy regression equations using a fuzzy neural network
Author :
Blount, Michael ; Lin, Chiahung ; Duckstein, Lucien
Author_Institution :
Dept. of Syst. & Ind. Eng., Arizona Univ., Tucson, AZ, USA
Abstract :
Fuzzy linear regression (FLR) and fuzzy least squares (FLS) involve solving a system of linear fuzzy equations. A fuzzy neural network (FNN) using symmetric triangular fuzzy numbers appears to solve such systems of linear fuzzy equations using a backward error propagation algorithm. This FNN method is then compared to standard FLR and FLS methods on two sample problems; it appears to perform at least as well
Keywords :
fuzzy neural nets; fuzzy set theory; learning (artificial intelligence); least squares approximations; statistical analysis; backward error propagation algorithm; fuzzy least squares; fuzzy linear regression; fuzzy neural network; fuzzy regression equations; linear fuzzy equations; symmetric triangular fuzzy numbers; Equations; Fuzzy neural networks; Fuzzy systems; Industrial engineering; Least squares methods; Linear regression; Measurement standards; Neural networks; Neurons; Training data;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552341
