Stochastic methods in fuzzy time series analysis
In Chapter fuzzy time series are analyzed without assumptions on a stochastic model. The only stochastic element was the error component t* for moving averages.
In the present chapter the fuzzy observations are considered as realizations of a stochastic process whose elements are fuzzy stochastic quantities. The goal is to use dependencies of the observations for predictions of future values.