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

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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 caruso milk thistle expansion of the research of real fuzzy regression models.In this paper interval-valued fuzzy neural network (IVFNN) can be trained with crisp and interval-valued fuzzy la rams crop top 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 neural network is proposed.Finally, we illustrate our approach by some numerical examples and compare this method with existing methods.