Some adaptive logics for diagnosis | Zendy

Diderik Batens | Zendy; Joke Meheus | Zendy; Dagmar Provijn | Zendy; Liza Verhoeven | Zendy

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Some adaptive logics for diagnosis

Author(s) -

Diderik Batens,

Joke Meheus,

Dagmar Provijn,

Liza Verhoeven

Publication year - 2003

Publication title -

logic and logical philosophy

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.416

H-Index - 10

eISSN - 2300-9802

pISSN - 1425-3305

DOI - 10.12775/llp.2003.002

Subject(s) - set (abstract data type) , computer science , t norm fuzzy logics , artificial intelligence , theoretical computer science , mathematics , mathematical economics , epistemology , calculus (dental) , philosophy , medicine , programming language , fuzzy set , dentistry , membership function , fuzzy logic

A logic of diagnosis proceeds in terms of a set of data and one or more (prioritized) sets of expectancies. In this paper we generalize the logics of diagnosis from (27) and present some alternatives. The former operate on the premises and expectancies themselves, the latter on their consequences.

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