Understanding relations between fuzzy logic and evidential reasoning methods

The world around us is very uncertain and unpredictable. No bivalent logic (also called Boolean or binary logic or law of excluded middle) can possibly solve real world problems without over simplification. Many approximate reasoning (also called multi-valued, or continuous or fuzzy logic) methods have been proposed and applied to the real world problems. These methods differ in the way they represent uncertainty and handle uncertainty in the real world problems. In this paper we study, compare and understand relations between fuzzy logic and evidential reasoning methods for application to data fusion problem in transportation engineering