Rule based systems and networks: deterministic and fuzzy approaches

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Abstract

A rule based system is a special type of expert system which consists of a set of rules. In practice, rule based systems can be built by using expert knowledge or learning from real data. Due to the vast and increasing size of data, the latter approach has become quite popular for building rule based systems. In particular, rule based systems can be built through use of rule learning algorithms, which can be based on statistical heuristics or random basis. This paper focuses on deterministic approaches for classification. This paper also features fuzzy approaches for modelling tasks. In general, this paper is mainly concerned with rule based systems that have a single rule base. However, some of the contents that relate to fuzzy approaches also include some concepts of multiple rule bases.
Original languageEnglish
Title of host publicationProceedings of the 8th IEEE International Conference on Intelligent Systems
PublisherIEEE
Pages316-321
Number of pages6
ISBN (Electronic)978-1509013548
ISBN (Print)978-1509013555
DOIs
Publication statusPublished - 10 Nov 2016
Event2016 IEEE International Conference on Intelligent Systems - Sofia, Bulgaria
Duration: 4 Sep 20166 Sep 2016
Conference number: 8

Conference

Conference2016 IEEE International Conference on Intelligent Systems
Abbreviated titleIS'16
Country/TerritoryBulgaria
CitySofia
Period4/09/166/09/16

Keywords

  • rule based systems
  • rule based networks
  • data mining
  • machine learning
  • rule learning

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