Logical approaches to uncertainty and vagueness in the view of the context model

Abstract

The context model provides a framework for clear semantics of concepts for handling uncertainty and vagueness. The authors analyze non-truth-functional logics with capabilities for the representation of uncertainty and vagueness in the view of the context model. It becomes apparent that among other approaches probabilistic and possibilistic logic can be considered as logics with additional restrictions in the general environment of the context model. Due to the semantic background of the context model it is possible to clarify and interpret the meaning of concepts like revision and expansion, and to describe the general assumptions used in various approaches.<>