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FUZZY TIME SERIES IN FORECASTING EXPORT PERFORMANCE OF INDONESIAN SEAWEED PRODUCTS

Neli Agustina, Isna Aissatussiri Asshidiq, Robert Kurniawan   +2 more
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Advancing sports performance evaluation through T spherical fuzzy FUCA MCDM approach to real time basketball analytics. [PDF]

Sci Rep
Liu D, Wang W.
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Multiple trajectory optimization and control of robotic agents using hybrid fuzzy embedded artificial intelligence technique for multi target problems. [PDF]

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Kumar S, Pandey KK, Parhi DR, Muni MK.
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Classifying schizophrenia subtypes via resting-state EEG complexity networks. [PDF]

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Zou J, Qi H, Yang C, Fan C, Dong Y.
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An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation. [PDF]

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Geng C.
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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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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 ...
SEVİM, İsmail, KARAŞAN, Ali, ÇINAR, Melih   +2 more
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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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