A high order fuzzy time series forecasting model based on adaptive expectation and artificial neural networks

DOI10.1016/j.matcom.2010.09.011zbMath1372.62039OpenAlexW1976808519MaRDI QIDQ622226

Cagdas Hakan Aladag, Ufuk Yolcu, Erol Eğrioğlu

Publication date: 31 January 2011

Published in: Mathematics and Computers in Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.matcom.2010.09.011

Mathematics Subject Classification ID

Fuzzy real analysis (26E50) Inference from stochastic processes and fuzziness (62M86)

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Uses Software

• BRENT

Cites Work

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• Adaptive-expectation based multi-attribute FTS model for forecasting TAIEX
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• A new model selection strategy in artificial neural networks
• A new approach based on the optimization of the length of intervals in fuzzy time series
• FORECASTING ENROLLMENTS BASED ON HIGH-ORDER FUZZY TIME SERIES
• Sequential Minimax Search for a Maximum
• Effective lengths of intervals to improve forecasting in fuzzy time series

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