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Identification of diagnostic rules with the application of an evolutionary algorithm

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

The paper deals with a way of identification of associative and diagnostic rules, which determine relationships between features of observed processes. Rules are identified by means of a method based on the application of an evolutionary algorithm. Special ways of coding, genetic operations and individual assessments were elaborated. The approach described in the paper is a part of a method of diagnostic inference with the use of contexts. Identified associative rules are transformed into diagnostic rules within given contexts.

Original languageEnglish
Pages (from-to)11-16
Number of pages6
JournalEksploatacja i Niezawodnosc
Volume37
Issue number1
Publication statusPublished - 2008

Keywords

  • Context
  • Diagnostic inference
  • Rule identification

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Industrial and Manufacturing Engineering

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