On the use of fuzzy synthetic evaluation and optimal classification for computing fire risk ranking of buildings-Reference-Cited by-同舟云学术

On the use of fuzzy synthetic evaluation and optimal classification for computing fire risk ranking of buildings

Published:2009-02-24 Issue:6 Volume:18 Page:643-652
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Liu M.,Lo S. M.,Hu B. Q.,Zhao C. M.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-009-0244-4.pdf

Reference39 articles.

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2. Watts JM (1995) Fire risk ranking. In: DiNenno PJ et al (eds) SFPE handbook of fire prevention engineering. National Fire Protection Association, Quincy, pp 5:12–15:26

3. Au SK, Wang ZH, Lo SM (2007) Compartment fire risk analysis by advanced Monte Carlo simulation. Eng Struct 29(9):2381–2390

4. Yeoh GH, Yuen RKK, Lo SM, Chen DH (2003) On numerical comparison of enclosure fire in a multi-compartment building. Fire Saf J 38:85–94. doi: 10.1016/S0379-7112(02)00032-2

5. Yuen KK, Lee EWM, LO SM, Yeoh GH (2006) Prediction of temperature and velocity profiles in a single compartment fire by an improved neural network analysis. Fire Saf J 41:478–485. doi: 10.1016/j.firesaf.2006.03.003

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