Abstract
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.
Cite
CITATION STYLE
Raha, S., & Hossain, S. (2002). Fuzzy set in default reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2275, pp. 27–33). Springer Verlag. https://doi.org/10.1007/3-540-45631-7_4
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