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Adaptive Non-Stationary Fuzzy Time Series Forecasting with Bayesian Networks [PDF]

Sensors
Despite its interpretability and excellence in time series forecasting, the fuzzy time series forecasting model (FTSFM) faces significant challenges when handling non-stationary time series.
Bo Wang, Xiaodong Liu
doaj   +2 more sources

Fuzzy Logic of Non-Stationary Time Series Models with an Application [PDF]

المجلة العراقية للعلوم الاحصائية, 2010
This research is dedicated to study non-stationary time series , and the ability of using fuzzy logic in order to improve forecasting. The non-stationary time series (Mixed autoregressive and moving average model) has been linked with fuzzy logic in ...
doaj   +2 more sources

Multilayer Stock Forecasting Model Using Fuzzy Time Series [PDF]

The Scientific World Journal, 2014
After reviewing the vast body of literature on using FTS in stock market forecasting, certain deficiencies are distinguished in the hybridization of findings.
Hossein Javedani Sadaei, Muhammad Hisyam Lee   +1 more
doaj   +2 more sources

Network Traffic Anomaly Detection Algorithm Based on Intuitionistic Fuzzy Time Series Graph Mining [PDF]

IEEE Access, 2020
Network traffic anomaly detection is an important technology in cyberspace security. Combining information entropy theory and a variable ordering heuristic intuitionistic fuzzy time series forecasting model, we present a traffic anomaly detection ...
Ya-Nan Wang, Jian Wang, Xiaoshi Fan, Yafei Song   +3 more
doaj   +2 more sources

Fuzzy Time Series Orde Tinggi berdasarkan Rasio Interval

Jurnal Matematika UNAND, 2022
Fuzzy time series (FTS) adalah metode peramalan untuk memprediksi data time series dibentuk dalam nilai-nilai linguistik yang diperkenalkan pertama kali oleh Song dan Chissom.
Etna Vianita, Redemtus Heru Tjahjana, Titi Udjiani   +2 more
doaj   +3 more sources

A Phase-Cum-Time Variant Fuzzy Time Series Model for Forecasting Non-Stationary Time Series and Its Application to the Stock Market

IEEE Access
Non-stationary time series plays a prominent role in the analysis of performance time series of many real-world systems. Recently, fuzzy time series models have been extended to forecast non-stationary time series.
A. J. Saleena, C. Jessy John, G. Rubell Marion Lincy   +2 more
doaj   +2 more sources

Enhanced forecasting of rice price and production in Malaysia using novel multivariate fuzzy time series models. [PDF]

Sci Rep
Bilal M, Alrasheedi MA, Aamir M, Abdullah S, Norrulashikin SM, Rezaiy R.   +5 more
europepmc   +3 more sources

Pengukuran Kinerja Pelayanan Implementasi Metode Fuzzy Time Series Terhadap Dampak Perubahan Harga Bahan Bakar Minyak pada Investasi Saham (Studi Peristiwa : Saham pada IHSG di Bursa Efek Indonesia)

JOINS (Journal of Information System), 2016
Perubahan harga bahan bakar minyak merupakan salah satu faktor yang berpengaruh terhadap investasi saham pada Indeks Harga Saham Gabungan (IHSG) di Indonesia, namun dalam proses pergerakan harga saham yang tidak menentu para investor ditekan untuk lebih ...
Budi Karyo Utomo, Wellia Shinta Sari
doaj   +1 more source

Cheng Fuzzy Time Series Model to Forecast the Price of Crude Oil in Malaysia

Journal of Computing Research and Innovation, 2022
Crude oil is one of the important commodities to Malaysia. As a producer and exporter of oil and gas, Malaysia has gained high Gross Revenue from this sector. Crude oil is the global commodity and highly demanded.
Jasmani Bidin, Noorzila Sharif, Sharifah Fhahriyah Syed Abas, Ku Azlina Ku Akil, Nurul Aqilah Abdullah   +4 more
doaj   +3 more sources

Intuitionistic fuzzy time series functions approach for time series forecasting [PDF]

Granular Computing, 2020
AbstractFuzzy inference systems have been commonly used for time series forecasting in the literature. Adaptive network fuzzy inference system, fuzzy time series approaches and fuzzy regression functions approaches are popular among fuzzy inference systems.
Egrioglu, Erol, Bas, Eren, Yolcu, Ufuk
openaire   +3 more sources