DocumentCode
3736581
Title
Fuzzy time series forecasting Comparing Markov-Chain and percentage change models
Author
Fatemeh Hasantabar Darzi;Narges Khoshnazar;Mehrdad Eslami
Author_Institution
Fac. of Math., Univ. of Sistan &
fYear
2015
Firstpage
1
Lastpage
4
Abstract
Numerous Fuzzy Time Series (FTS) models have been proposed in scientific literature during the past decades or so. Among the most FTS models for forecasting we chose two applicable models, Markov-Chain and Percentage Chang models. For evaluating these models we used exchange rate between the Iran and US dollar and compared the result.
Keywords
"Forecasting","Time series analysis","Biological system modeling","Exchange rates","Predictive models","Pragmatics","Fuzzy sets"
Publisher
ieee
Conference_Titel
Fuzzy and Intelligent Systems (CFIS), 2015 4th Iranian Joint Congress on
Type
conf
DOI
10.1109/CFIS.2015.7391636
Filename
7391636
Link To Document