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Issue title: Fuzzy model for human autonomous computing in extreme surveillance and it’s applications
Guest editors: Varatharajan Ramachandran
Article type: Research Article
Affiliations: Jimei University, Finance and Economics College, Xiamen, Fujian, China
Correspondence: [*] Corresponding author. Ying Xie, Jimei University, Finance and Economics College, Xiamen, Fujian, China. E-mail: Xie408937902@163.com.
Abstract: From the beginning to the end, monetary policy has focused too much on the control of the supply side. At present, the single supply-based monetary policy is ineffective. Therefore, it is urgent to change the current single direct supply-side regulation and control policy and replace it with a non-single and indirect control policy that combines supply and demand. Based on machine learning algorithms, this paper constructs a monetary policy analysis model based on dynamic stochastic general equilibrium methods to analyze the interactive effects of monetary policy and other policies. Moreover, this paper uses the dynamic stochastic general equilibrium model to simulate and analyze the economic effects of fiscal policy. In addition, this paper compares the economic effects of monetary policy and other policies and conducts verification and analysis through actual data. The obtained results show that the model constructed in this paper achieves the expected effect.
Keywords: Dynamic stochastic, general equilibrium model, monetary policy, policy effect
DOI: 10.3233/JIFS-189480
Journal: Journal of Intelligent & Fuzzy Systems, vol. 40, no. 4, pp. 6397-6408, 2021
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