Open AccessExamination of informativeness of diagnoses expressed with multiple-valued logic
Author(s) -
Stanisław Duer,
Dariusz Bernatowicz,
Paweł Wrzesień,
Radosław Duer
Publication year - 2018
Publication title -
biuletyn wojskowej akademii technicznej
Language(s) - English
Resource type - Journals
ISSN - 1234-5865
DOI - 10.5604/01.3001.0012.0992
Subject(s) - medical diagnosis , inference , diagnostic test , set (abstract data type) , artificial intelligence , computer science , object (grammar) , diagnostic accuracy , data mining , machine learning , algorithm , pattern recognition (psychology) , medicine , programming language , pathology , radiology , emergency medicine
This paper presents the essence of an examination of informativeness in the diagnostic information outputs expressed with multiple-valued logic. The diagnostic test required for the examination was completed on wind turbine equipment. The examination included a constant set of determined diagnostic output values. The DIAG 2 diagnostic system was used for the examination and the diagnostic test. DIAG 2 is a smart diagnostic system capable of any inference k of the set {k = 2, 3, 4}. The examination results were expressed in an Object State Table, separately for each k-valued logic of inference tested.Keywords: technical diagnostics, diagnostic inference, multiple-valued logic, artificial intelligence