Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/184387
Authors: 
Yolcu, Ufuk
Bas, Eren
Year of Publication: 
2016
Citation: 
[Journal:] Comparative Economic Research [Volume:] 19 [Year:] 2016 [Issue:] 2 [Pages:] 5-25
Abstract: 
Fuzzy time series methods based on the fuzzy set theory proposed by Zadeh (1965) was first introduced by Song and Chissom (1993). Since fuzzy time series methods do not have the assumptions that traditional time series do and have effective forecasting performance, the interest on fuzzy time series approaches is increasing rapidly. Fuzzy time series methods have been used in almost all areas, such as environmental science, economy and finance. The concepts of labour force participation and unemployment have great importance in terms of both the economy and sociology of countries. For this reason there are many studies on their forecasting. In this study, we aim to forecast the labour force participation and unemployment rate in Poland and Turkey using different fuzzy time series methods.
Subjects: 
fuzzy time series
forecasting
labour force participation
unemployment
Persistent Identifier of the first edition: 
Creative Commons License: 
https://creativecommons.org/licenses/by-nc-nd/3.0
Document Type: 
Article

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