TY - EJOU
AU - Somayeh Ezadi,
AU - Tofigh Allahviranloo,
TI - Numerical Solution of Linear Regression Based on Z-Numbers by Improved Neural Network
T2 - Intelligent Automation \& Soft Computing
PY - 2018
VL - 24
IS - 1
SN - 2326-005X
AB - In this article, the researcher at first focuses on introducing a linear regression based on the Z-number.
In this regression, observations are real, but the coefficients and results of observations are unknown
and in the form of Z-rating. Therefore, to estimate this type of regression, we have three distinct ways
depending on different conditions dominating the problem. The three methods are a combination of
artificial neural networks and fuzzy generalized improvements of the technique. Moreover the method
of calculating the weights of the Z-number neural network has been mentioned and the stability of
neural network weights is considered. In some examples, the answer is estimated compared with the
original answer.
KW - Z-numbers; linear regression; neural network; error analysis; weights; stability
DO - 10.1080/10798587.2017.1328812