EAN: 9780387290560

MODELLING AND REASONING WITH VAGUE CONCEPTS - J...

Vagueness is central to the flexibility and robustness of natural language descriptions. Vague
concepts are robust to the imprecision of our perceptions  while still allowing us to convey
useful  and sometimes vital  information. The study of vagueness in Artificial Intelligence
(AI) is therefore motivated by the desire to incorporate this robustness and flexibility into
intelligent computer systems. Such a goal  however  requires a formal model of vague concepts
that will allow us to quantify and manipulate the uncertainty resulting from their use as a
means of passing information between autonomous agents. This volume outlines a formal
representation framework for modelling and reasoning with vague concepts in Artificial
Intelligence. The new calculus has many applications  especially in automated reasoning 
learning  data analysis and information fusion. This book gives a rigorous introduction to
label semantics theory  illustrated with many examples  and suggests clear operational
interpretations of the proposed measures. It also provides a detailed description of how the
theory can be applied in data analysis and information fusion based on a range of benchmark
problems.

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