Possibilistic Type-2 Fuzzy Regression with Application to TAIEX ForecastingNarges

Interval type-2 fuzzy logic system permits us to model rule uncertainties and every membership value of an element is interval itself. This study aims to propose a framework for an interval type-2 possibilistic fuzzy regression model.In this model, vagueness is minimized, under the circumstances where the h-cut of observed value is included in predicted value.In this model both primary and secondary membership function of predicted value fit the observed value.

کلیدواژه ها:

type-2 fuzzy regression ، possibilistic ، forecasting ،