Uncertainty Forecasting in Engineering

Deals with uncertainty forecasting based on a fuzzy time series approach, including fuzzy random processes and artificial neural networks. A consideration of data and measurement uncertainty enhances forecasting in a wide range of applications, particularly in the fields of engineering, environmental science and civil engineering.Uncertain data are described by means of a new incremental fuzzy representation which permits a complete and accurate estimation of uncertainty.