Evaluation of Fuzzy Labor by Fuzzy Neural Network

In this paper, a new hybrid method is presented based on fuzzy neural network for estimating the fuzzy coefficients or parameters of fuzzy supply and demanding the labor function with fuzzy inputs. Here, the 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 is proposed from the cost function of the fuzzy neural network. Finally, we illustrate the approach by the help of some numerical examples.