Modeling Probability Weighting Functions in Prospect Theory using a Class of Modifier Operators of Continuous-valued Logic

In this study, it is demonstrated that applying the Dombi modifier operator can be turned into a general approach for modeling probability weighting functions of prospect theory including the well-known ones. Furthermore, a two-phase regression method for fitting a probability weighting function generated by the modifier operator to empirical data is also presented.