Results 271 to 280 of about 34,857 (308)

Fuzzy prediction of time series

[1992 Proceedings] IEEE International Conference on Fuzzy Systems, 2003
An approach to time series extrapolation based on fuzzy control is described. The standard exponential averaging scheme is inflexible in that it gives a fixed weight to past history, thus ignoring transient phases in system dynamics. A modification to the scheme where the control parameter of the averaging scheme is dynamically adjusted by a simple ...
P.S. Khedkar, S. Keshav
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Introducing a Fuzzy-Pattern Operator in Fuzzy Time Series

2017
In this paper we introduce a fuzzy pattern operator and propose a new weighting fuzzy time series strategy for generating accurate ex-post forecasts. A decision support system is built for managing the weights of the information provided by the historical data, under a fuzzy time series framework.
Abel Rubio-Manzano, Enriqueta Vercher, José D. Bermúdez   +2 more
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Time Series Modeling Based on Fuzzy Transform

2016
It is well known that smoothing is applied to better see patterns and underlying trends in time series. In fact, to smooth a data set means to create an approximating function that attempts to capture important features in the data, while leaving out noises.
Luciano Stefanini, Laerte Sorini, Maria Letizia Guerra   +2 more
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On fuzzy time series method

2010 Third International Symposium on Knowledge Acquisition and Modeling, 2010
The proposes of this paper are to investigate the properties and methods of fuzzy time series. It starts off with introducing the fuzzy time series analysis proposed by Q. Song and B.S. Chissom. Then, the theory structure, calculation, forecasting procedure and application of fuzzy time series are characterized from a comparison between traditional ...
null Yu Yan-Hua, null Song Li-Xia
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Improved time-variant fuzzy time series forecast

Fuzzy Optimization and Decision Making, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hao-Tien Liu, Nai-Chieh Wei, Chiou-Goei Yang   +2 more
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Evolutionary Fuzzy Relational Modeling for Fuzzy Time Series Forecasting

International Journal of Fuzzy Systems, 2015
The use of fuzzy time series has attracted considerable attention in studies that aim to make forecasts using uncertain information. However, most of the related studies do not use a learning mechanism to extract valuable information from historical data.
Shu-Ching Kuo, Chih-Chuan Chen, Sheng-Tun Li   +2 more
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Forecasting of Time Series with Fuzzy Logic

2013
There are different methods which can be used for the support of forecasting. Nowadays the new theories of soft computing are used for these purposes. There could be mentioned fuzzy logic, neural networks and some other methods. The aim of the paper is focused on the use of fuzzy logic for forecasting purposes.
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Intuitionistic time series fuzzy inference system

Engineering Applications of Artificial Intelligence, 2019
Abstract Although adaptive network fuzzy inference system and fuzzy functions approach can be utilized as a prediction tool, they have been not designed for prediction problem and they ignore the dependency structure of time series observations. From this viewpoint, making a design of the method that considers the dependency structure of observations
Erol Egrioglu, Eren Bas, Ozge Cagcag Yolcu, Ufuk Yolcu   +3 more
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A NOTE ON A FUZZY TIME SERIES MODEL OF FUZZY NUMBER OBSERVATIONS

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2004
Song et al.[3] proposed a new fuzzy time series model by means of defining some new operations on fuzzy numbers. They presented the new model in the form of two theorems, which indicate that the value of F(t) at t+1 can be related to its previous ones by means of forward and backward linguistic difference, as a necessary condition for the homogeneous ...
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Neuro-fuzzy networks in time series modelling

KES'2000. Fourth International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies. Proceedings (Cat. No.00TH8516), 2002
The paper briefly presents and compares four neuro-fuzzy systems used for rule-based modelling of dynamic processes (chaotic Mackey-Glass time series). The following systems have been considered: nfMod, the system proposed in this paper; the well-known ANFIS and NFIDENT systems; and an alternative neuro-fuzzy system reported in literature.
Marian B. Gorzalczany, Adam Gluszek
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