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Adaptive Time-Variant Models for Fuzzy-Time-Series Forecasting
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010A fuzzy time series has been applied to the prediction of enrollment, temperature, stock indices, and other domains. Related studies mainly focus on three factors, namely, the partition of discourse, the content of forecasting rules, and the methods of defuzzification, all of which greatly influence the prediction accuracy of forecasting models.
Wai Keung Wong +2 more
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2000
A modeling method is suggested in this paper, which permits building multidimensional fuzzy models of time series consisting of fuzzy prototypes. These models have to be trained in a so-called period of learning and are suitable for short, medium and long range forecasts.
Steffen F. Bocklisch, Michael Päßler
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A modeling method is suggested in this paper, which permits building multidimensional fuzzy models of time series consisting of fuzzy prototypes. These models have to be trained in a so-called period of learning and are suitable for short, medium and long range forecasts.
Steffen F. Bocklisch, Michael Päßler
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A Distributed Algorithm for Scalable Fuzzy Time Series
2019Time series forecasting, an essential task in management of Smart Cities and Smart Grids, becomes challenging when it needs to deal with big data. The development of highly accurate machine learning models is yet harder when considering the optimization of hyper-parameters, an expensive computational task.
Petrônio Cândido de Lima e Silva +2 more
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Heuristic models of fuzzy time series for forecasting
Fuzzy Sets and Systems, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Weighted Fuzzy Time Series Forecasting Model
2010Traditional time series methods fail to forecast the problems with linguistic historical data. An alternative forecasting method such as fuzzy time series is needed to deal with these kinds of problems. This study proposes a fuzzy time series method based on trend variations.
Jia-Wen Wang, Jing-Wei Liu
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The Logarithm Function with a Fuzzy Time Series [PDF]
Journal of Convergence Information Technology, 2009 openaire +1 more source
Intuitionistic Fuzzy Time Series: An Approach for Handling Nondeterminism in Time Series Forecasting
IEEE Transactions on Fuzzy Systems, 2016Sanjay Kumar, Sukhdev Singh Gangwar
exaly
ARMA(p,q) type high order fuzzy time series forecast method based on fuzzy logic relations
Applied Soft Computing Journal, 2017Cem Kocak
exaly