An Intelligent and Hybrid Weighted Fuzzy Time Series Model Based on Empirical Mode Decomposition for Financial Markets Forecasting

Advances in Data Mining. Applications and Theoretical Aspects - Lecture Notes in Computer Science ◽

10.1007/978-3-319-95786-9_8 ◽

2018 ◽

pp. 104-118 ◽

Author(s):

Ruixin Yang ◽

Junyi He ◽

Mingyang Xu ◽

Haoqi Ni ◽

Paul Jones ◽

...

Keyword(s):

Time Series ◽

Financial Markets ◽

Empirical Mode Decomposition ◽

Time Series Model ◽

Fuzzy Time Series ◽

Model Based ◽

Mode Decomposition

Download Full-text

Predicting Building Energy Consumption by Time Series Model Based on Machine Learning and Empirical Mode Decomposition

2020 5th IEEE International Conference on Big Data Analytics (ICBDA) ◽

10.1109/icbda49040.2020.9101335 ◽

2020 ◽

Author(s):

Dandan Liu ◽

Qiangqiang Yang ◽

Fang Yang

Keyword(s):

Machine Learning ◽

Time Series ◽

Energy Consumption ◽

Empirical Mode Decomposition ◽

Building Energy ◽

Time Series Model ◽

Building Energy Consumption ◽

Model Based ◽

Mode Decomposition

Download Full-text

A novel time-series model based on empirical mode decomposition for forecasting TAIEX

Economic Modelling ◽

10.1016/j.econmod.2013.09.033 ◽

2014 ◽

Vol 36 ◽

pp. 136-141 ◽

Author(s):

Ching-Hsue Cheng ◽

Liang-Ying Wei

Keyword(s):

Time Series ◽

Empirical Mode Decomposition ◽

Time Series Model ◽

Model Based ◽

Mode Decomposition

Download Full-text

An Intelligent Weighted Fuzzy Time Series Model Based on a Sine-Cosine Adaptive Human Learning Optimization Algorithm and Its Application to Financial Markets Forecasting

Advanced Data Mining and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-319-69179-4_42 ◽

2017 ◽

pp. 595-607 ◽

Author(s):

Ruixin Yang ◽

Mingyang Xu ◽

Junyi He ◽

Stephen Ranshous ◽

Nagiza F. Samatova

Keyword(s):

Time Series ◽

Financial Markets ◽

Optimization Algorithm ◽

Human Learning ◽

Time Series Model ◽

Fuzzy Time Series ◽

Download Full-text

Pythagorean fuzzy time series model based on Pythagorean fuzzy c-means and improved Markov weighted in the prediction of the new COVID-19 cases

Soft Computing ◽

10.1007/s00500-021-06259-2 ◽

2021 ◽

Author(s):

Sidong Xian ◽

Yue Cheng

Keyword(s):

Time Series ◽

Time Series Model ◽

Fuzzy Time Series ◽

Fuzzy C Means ◽

Download Full-text

Fuzzy time series model based on probabilistic approach and rough set rule induction for empirical research in stock markets

Data & Knowledge Engineering ◽

10.1016/j.datak.2008.06.002 ◽

2008 ◽

Vol 67 (1) ◽

pp. 103-117 ◽

Author(s):

Hia Jong Teoh ◽

Ching-Hsue Cheng ◽

Hsing-Hui Chu ◽

Jr-Shian Chen

Keyword(s):

Time Series ◽

Empirical Research ◽

Rough Set ◽

Stock Markets ◽

Probabilistic Approach ◽

Rule Induction ◽

Time Series Model ◽

Fuzzy Time Series ◽

Download Full-text

A hybrid fuzzy time series model based on granular computing for stock price forecasting

Information Sciences ◽

10.1016/j.ins.2014.09.038 ◽

2015 ◽

Vol 294 ◽

pp. 227-241 ◽

Author(s):

Mu-Yen Chen ◽

Bo-Tsuen Chen

Keyword(s):

Time Series ◽

Stock Price ◽

Granular Computing ◽

Time Series Model ◽

Fuzzy Time Series ◽

Price Forecasting ◽

Stock Price Forecasting ◽

Download Full-text

A New Fuzzy Time Series Model Based on Cluster Analysis Problem

International Journal of Fuzzy Systems ◽

10.1007/s40815-018-0589-x ◽

2019 ◽

Vol 21 (3) ◽

pp. 852-864 ◽

Author(s):

Tai Vovan ◽

Nghiep Ledai

Keyword(s):

Time Series ◽

Cluster Analysis ◽

Time Series Model ◽

Fuzzy Time Series ◽

Analysis Problem ◽

Download Full-text

A fuzzy time series model based on N-th Quantile Discretization Approach for TAIEX forecasting

2013 5th International Conference on Knowledge and Smart Technology (KST) ◽

10.1109/kst.2013.6512778 ◽

2013 ◽

Author(s):

Jing-Rong Chang ◽

Chung-Chi Liu

Keyword(s):

Time Series ◽

Time Series Model ◽

Fuzzy Time Series ◽

Download Full-text

A New Fuzzy Time Series Model Based on Fuzzy C-Regression Model

International Journal of Fuzzy Systems ◽

10.1007/s40815-018-0497-0 ◽

2018 ◽

Vol 20 (6) ◽

pp. 1872-1887 ◽

Author(s):

Nevin Güler Dincer

Keyword(s):

Time Series ◽

Regression Model ◽

Time Series Model ◽

Fuzzy Time Series ◽

Download Full-text

A hybrid fuzzy time series model based on ANFIS and integrated nonlinear feature selection method for forecasting stock

Neurocomputing ◽

10.1016/j.neucom.2016.03.068 ◽

2016 ◽

Vol 205 ◽

pp. 264-273 ◽

Author(s):

Chung-Ho Su ◽

Ching-Hsue Cheng

Keyword(s):

Time Series ◽

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Time Series Model ◽

Fuzzy Time Series ◽

Model Based ◽

Nonlinear Feature

Download Full-text