Inclusion-Based Approximate Reasoning

Authors:
Chris Cornelis;Etienne E. Kerre
Affiliations:
-;-
Venue:
ICCS '01 Proceedings of the International Conference on Computational Science-Part II
Year:
2001

Citing 5
Cited 3

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Abstract

We present a kind of fuzzy reasoning, dependent on a measure of fulfilment of the antecedent clause, that captures all the expressiveness of the traditional approximate reasoning methodology based on the Compositional Rule of Inference (CRI) and at the same time rules out a good deal of its inherent complexity. We also argue why this approach offers a more genuine solution to the implementation of analogical reasoning than the classically proposed similarity measures.