EVALUATION OF FUZZY LABOR BY FUZZY NEURAL NETWORK

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GHAVIDEL S.; OTADI M.; MOSLEH M.

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Journal: Journal of Economic Modelling Year:2010 | Volume:3 | Issue:4 (10) Page(s): 83-101

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Information Journal Paper

Title

EVALUATION OF FUZZY LABOR BY FUZZY NEURAL NETWORK

Author(s)

GHAVIDEL S. | OTADI M. | MOSLEH M. | Issue Writer Certificate

Keywords

LABOR MARKETQ3

FUZZY NEURAL NETWORKQ2

FUZZY NUMBERQ2

FUZZY REGRESSIONQ3

Abstract

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.

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APA: Copy

GHAVIDEL, S., OTADI, M., & MOSLEH, M.. (2010). EVALUATION OF FUZZY LABOR BY FUZZY NEURAL NETWORK. ECONOMIC MODELLING, 3(4 (10)), 83-101. SID. https://sid.ir/paper/176319/en

Vancouver: Copy

GHAVIDEL S., OTADI M., MOSLEH M.. EVALUATION OF FUZZY LABOR BY FUZZY NEURAL NETWORK. ECONOMIC MODELLING[Internet]. 2010;3(4 (10)):83-101. Available from: https://sid.ir/paper/176319/en

IEEE: Copy

S. GHAVIDEL, M. OTADI, and M. MOSLEH, “EVALUATION OF FUZZY LABOR BY FUZZY NEURAL NETWORK,” ECONOMIC MODELLING, vol. 3, no. 4 (10), pp. 83–101, 2010, [Online]. Available: https://sid.ir/paper/176319/en

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