A General Form of Cautious Approximate Reasoning for Symbolic and Complex Data
Abstract Decision-makers are increasingly confronted with the problem of data imprecision. Thereby,the representation and manipulation of such knowledge play a crucial role in the performance of intelligent systems. Among the well-known logics for imprecise data, we can find symbolic multi-valued logic. This logic exte...