Determining equivalent values for possibilistic variables

We discuss the nature of possibilistic uncertainty. Two approaches to the d etermination of the equivalent value for a possibilistically uncertain vari able are introduced. These approaches are then generalized to yield a param eterized class of functions for obtaining the equivalent value of a possibi listic variable. A novel aspect of this class is that it is parameterized b y a weak ordering, A discussion to try to understand the semantics of this parameterizing ordering is included. A method is suggested for obtaining th e weak ordering directly from a scalar value. We briefly look at the issue of variance in possibilistic uncertainty.