Results 261 to 270 of about 30,162 (305)

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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Introducing polynomial fuzzy time series

Journal of Intelligent & Fuzzy Systems, 2013
Using polynomial concept and non-liner optimization enhanced the performance of Chen's (1996) and Yu's (2005b) methods as the two frequently used methods in fuzzy time series model. To this end, polynomial schemes were given to each fuzzy logical relationship groups that had been established through forecast process to establish non-linear optimization
Lee, Muhammad H., Sadaei, Hossein J., Suhartono   +2 more
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Fuzzy Time Series Analysis

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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Incremental fuzzy clustering of time series

Fuzzy Sets and Systems, 2021
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Wang, Ling, Xu, Peipei, Ma, Qian
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Fuzzy Time Series Prediction Model

2011
The main objective to design this proposed model is to overcome the drawbacks of the exiting approaches and derive more robust & accurate methodology to forecast data. This innovative soft computing time series model is designed by joint consideration of three key points (1) Event discretization of time series data (2 Frequency density based ...
Bindu Garg, M. M. Sufyan Beg, A. Q. Ansari, B. M. Imran   +3 more
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Wavelet-based Fuzzy Clustering of Time Series

Journal of Classification, 2010
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
E. a. Maharaj, D'URSO, Pierpaolo, Don U. a. Galagedera   +2 more
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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.
Liu, Hao-Tien, Wei, Nai-Chieh, Yang, Chiou-Goei   +2 more
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Fuzzy stochastic fuzzy time series and its models

Fuzzy Sets and Systems, 1997
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Song, Qiang, Leland, Robert P., Chissom, Brad S.   +2 more
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Adaptive Time-Variant Models for Fuzzy-Time-Series Forecasting

IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2010
A 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, Enjian, Bai, Alice Wai-Ching, Chu   +2 more
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Fuzzy NN Time Series Forecasting

2015
The kNN time series forecasting method is based on a very simple idea. kNN forecasting is base on the idea that similar training samples most likely will have similar output values. One has to look for a certain number of nearest neighbors, according to some distance.
Juan J. Flores, Federico González-Santoyo, Beatriz Flores, Rubén Molina   +3 more
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