Multivariate Picture Fuzzy Time Series: New Definitions and a New Forecasting Method Based on Pi-Sigma Artificial Neural Network

[1]  Joydeep Ghosh,et al.  The pi-sigma network: an efficient higher-order neural network for pattern classification and function approximation , 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

[2]  NingNing Huang,et al.  A novel method based on FTS with both GA-FCM and multifactor BPNN for stock forecasting , 2018, Soft Computing.

[3]  Shyi-Ming Chen,et al.  Forecasting enrollments based on fuzzy time series , 1996, Fuzzy Sets Syst..

[4]  Hak-Keung Lam,et al.  A combined robust fuzzy time series method for prediction of time series , 2017, Neurocomputing.

[5]  Pritpal Singh,et al.  A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches , 2018, J. Comput. Sci..

[6]  Shyi-Ming Chen,et al.  TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines , 2013, Inf. Sci..

[7]  Shyi-Ming Chen,et al.  Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and the Probabilities of Trends of Fuzzy Logical Relationships , 2015, IEEE Transactions on Cybernetics.

[8]  Abhishekh,et al.  A refined method of forecasting based on high-order intuitionistic fuzzy time series data , 2018, Progress in Artificial Intelligence.

[9]  Erol Egrioglu,et al.  Picture fuzzy time series: Defining, modeling and creating a new forecasting method , 2020, Eng. Appl. Artif. Intell..

[10]  Mahua Bose,et al.  Designing fuzzy time series forecasting models: A survey , 2019, Int. J. Approx. Reason..

[11]  Himansu Sekhar Behera,et al.  A study on leading machine learning techniques for high order fuzzy time series forecasting , 2020, Eng. Appl. Artif. Intell..

[12]  Shyi-Ming Chen,et al.  Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures , 2016, Inf. Sci..

[13]  Yanan Wang,et al.  Network traffic forecasting model based on long-term intuitionistic fuzzy time series , 2020, Inf. Sci..

[14]  Hossein Javedani Sadaei,et al.  Probabilistic Forecasting With Fuzzy Time Series , 2020, IEEE Transactions on Fuzzy Systems.

[15]  Liang Zhao,et al.  PSO-based single multiplicative neuron model for time series prediction , 2009, Expert Syst. Appl..

[16]  Kun-Huang Huarng,et al.  A Multivariate Heuristic Model for Fuzzy Time-Series Forecasting , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[17]  Tai Vovan,et al.  An improved fuzzy time series forecasting model using variations of data , 2018, Fuzzy Optimization and Decision Making.

[18]  Riccardo Poli,et al.  Particle swarm optimization , 1995, Swarm Intelligence.

[19]  Jianzhou Wang,et al.  Research and Application of a Novel Hybrid Model Based on a Deep Neural Network Combined with Fuzzy Time Series for Energy Forecasting , 2019 .

[20]  Mohsen Ahmadi,et al.  Presentation of a new hybrid approach for forecasting economic growth using artificial intelligence approaches , 2019, Neural Computing and Applications.

[21]  Grazziela P. Figueredo,et al.  Short and Long term predictions of Hospital emergency department attendances , 2019, Int. J. Medical Informatics.

[22]  Ching-Hsue Cheng,et al.  Fuzzy time series model based on weighted association rule for financial market forecasting , 2018, Expert Syst. J. Knowl. Eng..

[23]  Mohsen Ahmadi.  A Computational Approach to Uncovering Economic Growth Factors , 2020 .

[24]  Witold Pedrycz,et al.  Fuzzy time series forecasting based on axiomatic fuzzy set theory , 2018, Neural Computing and Applications.

[25]  Stephen C. H. Leung,et al.  A new fuzzy time series forecasting model combined with ant colony optimization and auto-regression , 2015, Knowl. Based Syst..

[26]  Lei Dong,et al.  Damage forecasting based on multi-factor fuzzy time series and cloud model , 2016, Journal of Intelligent Manufacturing.

[27]  Erol Egrioglu,et al.  A new fuzzy inference system for time series forecasting and obtaining the probabilistic forecasts via subsampling block bootstrap , 2018, J. Intell. Fuzzy Syst..

[28]  Jie He,et al.  A Forecasting Model Based on Multi-Valued Neutrosophic Sets and Two-Factor, Third-Order Fuzzy Fluctuation Logical Relationships , 2018, Symmetry.

[29]  Frederico G. Guimarães,et al.  Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series , 2019, Energy.

[30]  Tie Zhang,et al.  A second-order fuzzy time series model for stock price analysis , 2019, Journal of Applied Statistics.

[31]  Hongjun Guan,et al.  Neutrosophic Soft Sets Forecasting Model for Multi-Attribute Time Series , 2019, IEEE Access.

[32]  Shyi-Ming Chen,et al.  Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques , 2019, Inf. Sci..

[33]  B. Chissom,et al.  Fuzzy time series and its models , 1993 .

[34]  Sidong Xian,et al.  A novel fuzzy time series forecasting method based on the improved artificial fish swarm optimization algorithm , 2017, Soft Computing.

[35]  Muhammad Zahir Khan,et al.  Application of ANFIS, ANN and fuzzy time series models to CO2 emission from the energy sector and global temperature increase , 2019, International Journal of Climate Change Strategies and Management.

[36]  Hamido Fujita,et al.  A novel forecasting method based on multi-order fuzzy time series and technical analysis , 2016, Inf. Sci..

[37]  Erol Egrioglu,et al.  Probabilistic Fuzzy Time Series Method Based on Artificial Neural Network , 2016 .

[38]  Shyi-Ming Chen,et al.  TAIEX Forecasting Based on Fuzzy Time Series and Fuzzy Variation Groups , 2011, IEEE Transactions on Fuzzy Systems.

[39]  Shyi-Ming Chen,et al.  Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques , 2010, Inf. Sci..

[40]  Le Hoang Son,et al.  Picture fuzzy clustering: a new computational intelligence method , 2016, Soft Comput..

[41]  Kun-Huang Huarng,et al.  A neural network-based fuzzy time series model to improve forecasting , 2010, Expert Syst. Appl..

[42]  Fang Li,et al.  Multi-factor one-order cross-association fuzzy logical relationships based forecasting models of time series , 2020, Inf. Sci..

[43]  Sanjay Kumar,et al.  A Modified Weighted Fuzzy Time Series Model for Forecasting Based on Two-Factors Logical Relationship , 2019, International Journal of Fuzzy Systems.

[44]  Kamlesh Bisht,et al.  Intuitionistic Fuzzy Set-Based Computational Method for Financial Time Series Forecasting , 2018, Fuzzy Information and Engineering.

[45]  Jeng-Shyang Pan,et al.  Fuzzy Forecasting Based on Two-Factors Second-Order Fuzzy-Trend Logical Relationship Groups and Particle Swarm Optimization Techniques , 2013, IEEE Transactions on Cybernetics.