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» Time Series Prediction by Perturbed Fuzzy Model
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IJIT
2004
13 years 11 months ago
Forecasting Enrollment Model Based on First-Order Fuzzy Time Series
-- This paper proposes a novel improvement of forecasting approach based on using time-invariant fuzzy time series. In contrast to traditional forecasting methods, fuzzy time serie...
Melike Sah, Konstantin Y. Degtiarev
ICTAI
2005
IEEE
14 years 3 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
IEAAIE
2010
Springer
13 years 7 months ago
Testing for Heteroskedasticity of the Residuals in Fuzzy Rule-Based Models
In this paper, we propose a new diagnostic checking tool for fuzzy rule-based modelling of time series. Through the study of the residuals in the Lagrange Multiplier testing framew...
José Luis Aznarte M., José M. Ben&ia...
TNN
2010
174views Management» more  TNN 2010»
13 years 4 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
FSS
2002
103views more  FSS 2002»
13 years 9 months ago
A fuzzy seasonal ARIMA model for forecasting
This paper proposes a fuzzy seasonal ARIMA (FSARIMA) forecasting model, which combines the advantages of the seasonal time series ARIMA (SARIMA) model and the fuzzy regression mod...
Fang-Mei Tseng, Gwo-Hshiung Tzeng