Somayeh Ezadia, Tofigh Allahviranloob
Intelligent Automation & Soft Computing, Vol.24, No.1, pp. 193-204, 2018, DOI:10.1080/10798587.2017.1328812
Abstract 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… More >
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