Performance Evaluation of Fire Alarm System Based on FPNN
Authors
Wei Gou, Na Qu, Zhenliang Lan
Corresponding Author
Wei Gou
Available Online December 2015.
- DOI
- 10.2991/nceece-15.2016.90How to use a DOI?
- Keywords
- performance evaluation; fire alarm system; fuzzy mathematics; probabilistic neural networks;
- Abstract
The type of fire alarm system and grades of standards exist fuzziness. fuzzy mathematics relative membership grade theory and probabilistic neural networks are combined to build a fuzzy probabilistic neural network (FPNN) evaluation model of fire alarm system. The method of constructing model is proposed based on indicators relative membership degree matrix interpolation. By comparing with other methods, the model is verified to be effective and the result is objective and reliable.
- Copyright
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Wei Gou AU - Na Qu AU - Zhenliang Lan PY - 2015/12 DA - 2015/12 TI - Performance Evaluation of Fire Alarm System Based on FPNN BT - Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering PB - Atlantis Press SP - 459 EP - 462 SN - 2352-5401 UR - https://doi.org/10.2991/nceece-15.2016.90 DO - 10.2991/nceece-15.2016.90 ID - Gou2015/12 ER -