Performance Evaluation of Fire Alarm System Based on FPNN

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/).

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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  -