Probabilistic reasoning in diagnostic expert system for smart homes

Stanislav Vechet, Jiri Krejsa, Jan Hrbacek, Kuo Shen Chen

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

Abstract

We present an expert system shell suitable for smart homes application where a diagnostics or prediction functionality can be used. Presented expert system is based on probabilistic theory and decision networks, which brings natural support for uncertainty handling. Dealing with uncertainty is one of features the expert system has and since it is designed as an empty expert system it can be transformed to other domain e.g. onboard diagnostic application for mobile robots.

Original languageEnglish
Title of host publicationMechatronics 2017 - Recent Technological and Scientific Advances
EditorsTomas Brezina, Ryszard Jablonski
PublisherSpringer Verlag
Pages708-715
Number of pages8
ISBN (Print)9783319659596
DOIs
Publication statusPublished - 2018 Jan 1
Event12th International Conference on Mechatronics, 2017 - Brno, Czech Republic
Duration: 2017 Sep 62017 Sep 8

Publication series

NameAdvances in Intelligent Systems and Computing
Volume644
ISSN (Print)2194-5357

Other

Other12th International Conference on Mechatronics, 2017
CountryCzech Republic
CityBrno
Period17-09-0617-09-08

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

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  • Cite this

    Vechet, S., Krejsa, J., Hrbacek, J., & Chen, K. S. (2018). Probabilistic reasoning in diagnostic expert system for smart homes. In T. Brezina, & R. Jablonski (Eds.), Mechatronics 2017 - Recent Technological and Scientific Advances (pp. 708-715). (Advances in Intelligent Systems and Computing; Vol. 644). Springer Verlag. https://doi.org/10.1007/978-3-319-65960-2_87