Time Series Analysis, Modeling and Applications A Computational Intelligence Perspective

From the Contents: The links between statistical and fuzzy models for time series analysis and forecasting.- Incomplete time series: imputation through Genetic Algorithms.- Intelligent aggregation and time series smoothing.- Financial fuzzy Time series models based on ordered fuzzy numbers.- Stochastic-fuzzy knowledge-based approach to temporal data modeling.-A Novel Choquet integral composition forecasting model for time series data based on completed  extensional L-measure.- An application of enhanced knowledge models  to fuzzy time series.- A wavelet transform approach to chaotic short-term forecasting.- Fuzzy forecasting with fractal analysis for the time series of environmental pollution.- Support vector regression with kernel Mahalanobis measure for financial forecast.