Paper Info
Title
Goodwin economic cycle via -fuzzy system.
Abstract
In this manuscript, we present numerical solutions of a p-fuzzy system that models the Goodwin economic cycle. This model describes the dynamic interaction between labour share and the employment rate in an economy. One can use p-fuzzy systems to obtain solutions for differential equations whose the vector field are uncertain and partially known. The proposed p-fuzzy system is based on a fuzzy rule-based systems whose fuzzy rules represent economic premises described in the Goodwin model. We use two approaches to adjust the fuzzy terms of the corresponding fuzzy rule base from the economical data of a given country. The first approach is based on statical measures and the second one uses fuzzy c-means clustering method. Finally, we test our proposal to estimate the growth cycles of the labour share and the employment rate of Germany and we compare the obtained results with the historical data.
Year
DOI
Venue
2020
10.3233/JIFS-182762
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
Keywords
DocType
Volume
P-fuzzy systems,Goodwin model,fuzzy rules,fuzzy numbers,fuzzy c-means
Journal
38
Issue
ISSN
Citations 
SP4.0
1064-1246
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Daniel Eduardo Sánchez102.70
Estevão Laureano Esmi29012.01
Laécio C. Barros311521.74
Alessandro Donadio Miebach400.34
Moiseis dos Santos Cecconello500.34