Soft Computing in Handling Tacit Knowledge

Research output: Chapter in Book/Conference proceedingConference contributionProfessional

Abstract

Paper machines are very complex production sys-tems, but their scope is simple: they consume materials and re-sources to produce high quality paper that is competitive for a dynamic, complex and very competitive global market. In this paper we sketch a decision support system developed in coopera-tion with an industrial partner to collect and use tacit knowledge for operating a paper machine. The knowledge of experienced engineers is represented with fuzzy ontology, which is the basis for a decision support system that could guide inexperienced engineers in the operation of paper machines. Recently there are new challenges as the industry started to meet the problems of big data.
Original languageUndefined/Unknown
Title of host publicationProceedings of 2015 International Conference on Fuzzy Theory and Its Applications
EditorsProceedings of 2015 International Conference on Fuzzy Theory, Its Applications
PublisherIEEE
Pages124–129
DOIs
Publication statusPublished - 2015
MoE publication typeD3 Professional conference proceedings

Keywords

  • big data
  • fuzzy ontology
  • fuzzy reasoning
  • support for unexperienced users
  • tacit knowledge

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