Using approximate reasoning to represent default knowledge
Artificial Intelligence
Default reasoning and possibility theory
Artificial Intelligence
A logical framework for default reasoning
Artificial Intelligence
An approach to default reasoning based on a first-order conditional logic: revised report
Artificial Intelligence
Fuzzy Sets and Systems
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The purpose of this report is to draw attention to the use of fuzzy sets in default reasoning. An attempt has been made to represent and manipulate default consequences which are frequently encountered in reasoning about incompletely specified worlds, based on the theory of approximate reasoning. Here, the uncertainty associated with a typical individual sanctioned by default is represented by means of a composite vague certainty qualified statement. The vague certainty value assigned to a statement is based on only the consistency of the consequence of a default rule. Inferences are drawn using similarity based approximate reasoning.