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A MF-ConvLSTM-XAI model integrating multi-feature and fuzzy control for financial time series forecasting. [PDF]

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Liu R, Yi S, Ablikim A, Song X.
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An efficient time series forecasting model based on fuzzy time series

Engineering Applications of Artificial Intelligence, 2013
In this paper, we present a new model to handle four major issues of fuzzy time series forecasting, viz., determination of effective length of intervals, handling of fuzzy logical relationships (FLRs), determination of weight for each FLR, and defuzzification of fuzzified time series values.
Pritpal Singh, Bhogeswar Borah
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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.
Ling Wang, Peipei Xu, Qian Ma
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Parsimonious fuzzy time series modelling

Expert Systems with Applications, 2020
Abstract This paper proposes a novel modelling structure to ensure the parsimony of fuzzy time series (FTS) models while retaining certain level of out-of-sample accuracy. A parsimonious FTS model requires multiple optimizations of hyper-parameters such as time lags and partitioning which consists of the number of fuzzy sets, the partitioning type ...
Ruobin Gao, Okan Duru
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Fuzzy forecasting based on fuzzy time series

International Journal of Computer Mathematics, 2004
This article presents an improved method of fuzzy time series to forecast university enrollments. The historical enrollment data of the University of Alabama were first adopted by Song and Chissom (Song, Q. and Chissom, B. S. (1993). Forecasting enrollment with fuzzy time series-part I, Fuzzy Sets and Systems, 54, 1–9; Song, Q. and Chissom, B. S. (1994)
Hsuan-Shih Lee, Ming-Tao Chou
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Interval forecasting with Fuzzy Time Series

2016 IEEE Symposium Series on Computational Intelligence (SSCI), 2016
In recent years, the demand for developing low computational cost methods to deal with uncertainty in forecasting has been increased. Interval forecasting is a category of forecasting in which the method provides intervals as outputs of its forecasting.
Petrônio C. L. Silva, Hossein Javedani Sadaei, Frederico Gadelha Guimarães   +2 more
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Probabilistic Forecasting With Fuzzy Time Series

IEEE Transactions on Fuzzy Systems, 2020
In recent years, the demand for developing low computational cost methods to deal with uncertainties in forecasting has been increased. Probabilistic forecasting is a class of forecasting in which the method provides intervals or probability distributions as outcomes of its forecasting.
Petrônio Cândido de Lima e Silva, Hossein Javedani Sadaei, Rosangela Ballini, Frederico Gadelha Guimarães   +3 more
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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
Muhammad Hisyam Lee, Hossein Javedani Sadaei, Suhartono   +2 more
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Fuzzy classification of time series data

2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2013
The problem of classification of time series data is an interesting problem in the field of data mining. Even though several algorithms have been proposed for the problem of time series classification we have developed an innovative algorithm which is computationally fast and accurate in several cases when compared with 1NN classifier. In our method we
Penugonda Ravikumar, V. Susheela Devi
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Fuzzy Time Series

2017
In this chapter, we are planning to make a comparison between conventional Time Series Models and Fuzzy Time Series Models by an application in an e-commerce company. Future sales of furniture will be predicted. The performance of different models and forecasting periods are going to be analyzed to discuss advantages and disadvantages of each method ...
KARAŞAN, Ali, ÇINAR, Melih, SEVİM, İsmail   +2 more
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