Goodwin model via p-fuzzy system

Autor(es)

Sanchez, D. ; Barros, L. C. ; Esmi, E. ; Miebach, A. D. ; Liu, J ; Lu, J ; Xu, Y ; Martinez, L ; Kerre, EE

• Tipo de documento: Artigo Científico
• Fonte: DATA SCIENCE AND KNOWLEDGE ENGINEERING FOR SENSING DECISION SUPPORT; v. 11, p. 8-pg., 2018-01-01.

Resumo

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)

• Processo FAPESP: 16/26040-7 - Cálculo diferencial e integral baseado aritmética de números fuzzy interativos
• Beneficiário: Estevão Esmi Laureano
• Modalidade de apoio: Auxílio à Pesquisa - Regular