"Fuzzy Time Series Forecasting Based On K-Means Clustering"
written by Zhiqiang Zhang, Qiong Zhu,
published by Open Journal of Applied Sciences, Vol.2 No.4B, 2012
has been cited by the following article(s):
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[6] (1906-5269) Interpolating time series based on fuzzy cluster analysis problem
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[8] Handling Forecasting Problems Based on Combining High-Order Time-Variant Fuzzy Relationship Groups and Particle Swam Optimization Technique
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[9] Fuzzy time series applications and extensions: analysis of a short term load forecasting challenge
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[11] Improving the Forecasted Accuracy of Model Based on Fuzzy Time Series and K-Means Clustering
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[12] Forecasting Power Quality Events Using Advanced Fuzzy Time Series
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[13] Forecasting Simulation with ARIMA and Combination of Stevenson-Porter-Cheng Fuzzy Time Series
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[14] Data driven analysis using fuzzy time series for air quality management in Surabaya
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[15] • FORECASTING MODEL BASED ON FUZZY TIME SERIES WITH FIRST ORDER DIFFERENCING
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[16] 基於不同連結策略之集群式預測模式於伺服器銷售預測
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[17] Propositional architecture and the par-adox of prediction
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[18] MÔ HÌNH DỰ BÁO CHUỖI THỜI GIAN MỜ DỰA TRÊN ĐẠI SỐ GIA TỬ VÀ TỐI ƯU BẦY ĐÀN