Author/Authors :
shafaei bajestani, narges islamic azad university, tehran science and research branch - department of electrical engineering, Tehran, Iran , vahidian kamyad, ali islamic azad university, tehran science and research branch - department of electrical engineering, Tehran, Iran , zare, assef islamic azad university, gonabad branch - department of electrical engineering, Tehran, Iran
Abstract :
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.
Keywords :
type , 2 fuzzy regression , Possibilistic , Forecasting
