Goodwin model via p-fuzzy system

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Author(s):	Sanchez, D. ; Barros, L. C. ; Esmi, E. ; Miebach, A. D. ; Liu, J ; Lu, J ; Xu, Y ; Martinez, L ; Kerre, EE Total Authors: 9
Document type:	Journal article
Source:	DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT; v. 11, p. 8-pg., 2018-01-01.
Abstract
In this work we propose a Mamdani fuzzy controller based on a fuzzy rule base whose fuzzy rules represent economic rules inspired by the Goodwin model. This model describes the dynamical interaction between the distribution of income and the employment level in the economy. Computational simulations reveal that the numerical solution of the proposed (p-fuzzy) system produces increasing cycles similar to those of the classical the Goodwin model. Finally, we discuss the capability of the p-fuzzy approach as approximator and we apply this methodology using historical economic data from Germany. (AU)

FAPESP's process:	16/26040-7 - Differential and integral calculus based on arithmetic of interactive fuzzy numbers
Grantee:	Estevão Esmi Laureano
Support Opportunities:	Regular Research Grants