An Overview of Computing with Words using Label Semantics

This chapter will give an overview of the label semantics framework for computing with words. Label semantics is an alternative methodology that models linguistic labels in terms of label descriptions, appropriateness measures and mass assignments. It has a clear operational semantics and is straightforward to integrate with other uncertainty formalisms. In the chapter we will introduce the theory of label semantics, discuss its compatibility with a functional calculus and show how it can be used to infer both probabilistic and possibilistic information from linguistic assertions.

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