Categorization and construction of rule based systems

Han Liu, Alexander Gegov, Frederic Stahl

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Expert systems have been increasingly popular for commercial importance. A rule based system is a special type of an expert system, which consists of a set of ‘if-then’ rules and can be applied as a decision support system in many areas such as healthcare, transportation and security. Rule based systems can be constructed based on both expert knowledge and data. This paper aims to introduce the theory of rule based systems especially on categorization and construction of such systems from a conceptual point of view. This paper also introduces rule based systems for classification tasks in detail.
Original languageEnglish
Title of host publicationEngineering applications of neural networks
Subtitle of host publication15th international conference on engineering applications of neural networks (EANN 2014)
EditorsValeri Mladenov, Chrisina Jayne, Lazaros Iliadis
Place of PublicationCham
ISBN (Electronic)9783319110714
ISBN (Print)9783319110707
Publication statusPublished - 2014
Event15th Engineering Applications of Neural Networks International Conference - Technical University of Sofia, Sofia, Bulgaria
Duration: 5 Sept 20147 Sept 2014
Conference number: 15

Publication series

NameCommunications in computer and information science
ISSN (Print)1865-0929


Conference15th Engineering Applications of Neural Networks International Conference
Abbreviated titleEANN 2014


  • Data Mining
  • Machine Learning
  • Rule Based Systems
  • Rule Based Classification
  • If-then Rules


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