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

Abstract

Fire risk ranking is particularly useful for building designers to compare two different solutions to assess if the safety is similar. However, the multi-criteria and imprecise nature of the fire safety attributes in buildings has caused difficulties in quantifying the fire safety level. Further to the previous works, the author presented a fuzzy synthetic… (More)
DOI: 10.1007/s00521-009-0244-4

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Cite this paper

@article{Liu2009OnTU, title={On the use of fuzzy synthetic evaluation and optimal classification for computing fire risk ranking of buildings}, author={M. Liu and S. M. Lo and B. Q. Hu and C. M. Zhao}, journal={Neural Computing and Applications}, year={2009}, volume={18}, pages={643-652} }