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Reasoning under uncertainty for plant disease diagnosis
Author(s) -
Tocatlidou A.,
Passam H.C.,
Sideridis A.B.,
Yialouris C.P.
Publication year - 2002
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/1468-0394.00188
Subject(s) - computer science , rotation formalisms in three dimensions , flexibility (engineering) , knowledge representation and reasoning , certainty , knowledge base , representation (politics) , artificial intelligence , model based reasoning , interface (matter) , user interface , machine learning , software engineering , human–computer interaction , risk analysis (engineering) , programming language , philosophy , statistics , geometry , mathematics , epistemology , bubble , maximum bubble pressure method , politics , political science , parallel computing , law , medicine
The present work describes an operational knowledge‐based system able to reason with uncertain knowledge, by using methodologies and formalisms that provide for representation of facts and rules with various degrees of certainty and precision. The user interface is windows based, and its design allows high flexibility both in describing the facts in the knowledge base and in adapting the reasoning mechanism. It can therefore be used to evaluate user‐generated hypotheses on plant disorders and diagnostic scenarios, as well as provide an environment for education and training in phytopathology.