Artificial Intelligence in Medicine
Artificial Intelligence in Medicine
Consistency checking of binary categorical relationships in a medical knowledge base
Artificial Intelligence in Medicine
MTL-algebras arising from partially ordered groups
Fuzzy Sets and Systems
The consistency of the CADIAG-2 knowledge base: a probabilistic approach
LPAR'10 Proceedings of the 17th international conference on Logic for programming, artificial intelligence, and reasoning
Measuring and repairing inconsistency in knowledge bases with graded truth
Fuzzy Sets and Systems
Plausible reasoning and graded information: A unified approach
Fuzzy Sets and Systems
Formal approaches to rule-based systems in medicine: The case of CADIAG-2
International Journal of Approximate Reasoning
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CADIAG-2 is a successful expert system assisting in the differential diagnosis in internal medicine. With its aid, conjectures about present diseases are derived from possibly vague information about a patient's symptoms. In this paper we provide a mathematical formalisation of the inferential mechanism of CADIAG-2. A Gentzen-style calculus for the resulting logic is introduced and used to compare the system's behaviour with t-norm based fuzzy logics.