A new fuzzy regression model based on interval-valued fuzzy neural network and its applications to management

A new fuzzy regression model based on interval-valued fuzzy neural network and its applications to management

Blog Article

In this paper, a novel hybrid method based on interval-valued fuzzy neural network for approximate of interval-valued fuzzy regression models, is presented.The work of this paper is an expansion of the research of real fuzzy regression models.In this paper interval-valued fuzzy neural network (IVFNN) can be trained with pentair hose crisp and interval-valued fuzzy data.

Here a neural network is considered as a part of a large field called neural computing or soft computing.Moreover, in order to find the approximate parameters, a simple algorithm from the cost function of the fuzzy poise pads in bulk neural network is proposed.Finally, we illustrate our approach by some numerical examples and compare this method with existing methods.