Open Journal of Applied Sciences

Open Journal of Applied Sciences

ISSN Print: 2165-3917
ISSN Online: 2165-3925
www.scirp.org/journal/ojapps
E-mail: ojapps@scirp.org
"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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[12] Markov Weighted Fuzzy Time-Series Model Based on an Optimum Partition Method for Forecasting Air Pollution
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[13] Interpolating time series based on fuzzy cluster analysis problem
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[14] A New Fuzzy Time Series Model Based on Cluster Analysis Problem
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[15] A NOVEL FORECASTING MODEL BASED ON COMBINING TIME-VARIANT FUZZY LOGICAL RELATIONSHIP GROUPS AND K-MEANS CLUSTERING TECHNIQUE
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[16] (1906-5269) Interpolating time series based on fuzzy cluster analysis problem
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[17] Handling Forecasting Problems Based on Two-Factor High-Order Fuzzy Time Series and Particle Swarm Optimization
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[18] Một mô hình mờ hóa chuỗi thời gian cải tiến
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[21] Fuzzy time series applications and extensions: analysis of a short term load forecasting challenge
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[23] Improving the Forecasted Accuracy of Model Based on Fuzzy Time Series and K-Means Clustering
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[24] Forecasting Power Quality Events Using Advanced Fuzzy Time Series
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[25] Forecasting Simulation with ARIMA and Combination of Stevenson-Porter-Cheng Fuzzy Time Series
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[26] Data driven analysis using fuzzy time series for air quality management in Surabaya
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[27] A NOVEL FORECASTING MODEL BASED ON COMBINING TIME- VARIANT FUZZY LOGICAL RELATIONSHIP GROUPS AND K-MEANS CLUSTERING TECHNIQUE
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[28] • FORECASTING MODEL BASED ON FUZZY TIME SERIES WITH FIRST ORDER DIFFERENCING
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[33] The New Approach Optimization Markov Weighted Fuzzy Time Series Using Particle Swarm Algorithm
[34] AUTOCORRELATED TIME SERIES ANALYSIS USING CLASSED TIMES SERIES AND ITS APPLICATION TO JAPANESE CONSUMER PRICE INDEX
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