scholarly journals Particle swarm optimization of partitions and fuzzy order for fuzzy time series forecasting of COVID-19

2021 ◽  
pp. 107611
Author(s):  
Naresh Kumar ◽  
Seba Susan
Keyword(s):  
Time Series ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Time Series Forecasting ◽  
Fuzzy Time Series ◽  
Swarm Optimization ◽  
Fuzzy Order

scholarly journals An ARMA Type Fuzzy Time Series Forecasting Method Based on Particle Swarm Optimization

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Erol Egrioglu ◽  
Ufuk Yolcu ◽  
Cagdas Hakan Aladag ◽  
Cem Kocak
Keyword(s):  
Time Series ◽  
Particle Swarm Optimization ◽  
Moving Average ◽  
Particle Swarm ◽  
Time Series Forecasting ◽  
Fuzzy Time Series ◽  
Time Series Models ◽  
Swarm Optimization ◽  
Accurate Forecast ◽  
Time Invariant

In the literature, fuzzy time series forecasting models generally include fuzzy lagged variables. Thus, these fuzzy time series models have only autoregressive structure. Using such fuzzy time series models can cause modeling error and bad forecasting performance like in conventional time series analysis. To overcome these problems, a new first-order fuzzy time series which forecasting approach including both autoregressive and moving average structures is proposed in this study. Also, the proposed model is a time invariant model and based on particle swarm optimization heuristic. To show the applicability of the proposed approach, some methods were applied to five time series which were also forecasted using the proposed method. Then, the obtained results were compared to those obtained from other methods available in the literature. It was observed that the most accurate forecast was obtained when the proposed approach was employed.

A new time invariant fuzzy time series forecasting method based on particle swarm optimization

2012 ◽  
Vol 12 (10) ◽  
pp. 3291-3299 ◽  
Author(s):  
Cagdas Hakan Aladag ◽  
Ufuk Yolcu ◽  
Erol Egrioglu ◽  
Ali Z. Dalar
Keyword(s):  
Time Series ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Time Series Forecasting ◽  
Fuzzy Time Series ◽  
Swarm Optimization ◽  
Forecasting Method ◽  
Time Invariant ◽  
New Time

Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques

2019 ◽  
Vol 500 ◽  
pp. 127-139 ◽  
Author(s):  
Shyi-Ming Chen ◽  
Xin-Yao Zou ◽  
Gracius Cagar Gunawan
Keyword(s):  
Time Series ◽  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Time Series Forecasting ◽  
Optimization Techniques ◽  
Fuzzy Time Series ◽  
Swarm Optimization
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