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Fuzzy set methods for representing commonsense knowledge

Article type: Research Article

Authors: Yager, Ronald R.

Affiliations: Machine Intelligence Institute, Iona College, New Rochelle, NY 10801, USA

Abstract: Knowledge representation plays a fundamental role in the construction of artificial intelligence for modeling commonsense reasoning. We emphasize the role fuzzy logic can play in extending some of the models of AI. Some basic ideas from the fuzzy set based theory of approximate reasoning are introduced. We then discuss two extensions of the theory of approximate reasoning, possibilistic logic and effectation logic.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 7, no. 1, pp. 27-45, 1999

Published: 1999
Price: EUR 27.50
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