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 &
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"
Conference_Titel :
Fuzzy and Intelligent Systems (CFIS), 2015 4th Iranian Joint Congress on
DOI :
10.1109/CFIS.2015.7391636
