Probabilistic reasoning in diagnostic expert system for smart homes

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

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Mechatronics 2017 - Recent Technological and Scientific Advances
編輯Tomas Brezina, Ryszard Jablonski
發行者Springer Verlag
頁面708-715
頁數8
ISBN(列印)9783319659596
DOIs
出版狀態Published - 2018 一月 1
事件12th International Conference on Mechatronics, 2017 - Brno, Czech Republic
持續時間: 2017 九月 62017 九月 8

出版系列

名字Advances in Intelligent Systems and Computing
644
ISSN(列印)2194-5357

Other

Other12th International Conference on Mechatronics, 2017
國家Czech Republic
城市Brno
期間17-09-0617-09-08

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science(all)

指紋 深入研究「Probabilistic reasoning in diagnostic expert system for smart homes」主題。共同形成了獨特的指紋。

  • 引用此

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