Representation of Medical Knowledge by Arden Syntax with Fuzzy Extensions
نویسندگان
چکیده
The representation of knowledge is one of the fundamental research areas in the realm of artificial intelligence. One approach to this subject has been provided by the Arden Syntax for Medical Logic Systems. At present, this syntax includes typical procedural programming language elements used to define crisp decision logic. However, medical knowledge usually contains linguistic uncertainty that can be represented and manipulated by concepts of fuzzy set theory and fuzzy logic. This paper presents concepts for extending Arden Syntax elements, such as operators, data types, and statements by concepts of fuzzy set theory and fuzzy logic to represent rules with inherent uncertainty.
منابع مشابه
Presentation of Medical Knowledge by Arden Syntax with Extensions Based on Fuzzy Set Theory
The Arden Syntaxfor Medical Logic Systems (Arden) is an approach to present medical knowledge by defining rules that include crisp decision logic. Clinical rules based on natural language usually contain uncertainty by way of vagueness which cannot be handled by Arden. Uncertain knowledge can be presented by extending Arden to include concepts offuzzy set theory.
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