Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering

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/).

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Volume Title
Proceedings of the 2015 4th National Conference on Electrical, Electronics and Computer Engineering
Series
Advances in Engineering Research
Publication Date
December 2015
ISBN
978-94-6252-150-6
ISSN
2352-5401
DOI
10.2991/nceece-15.2016.90How to use a DOI?
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  -