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Neural Computing and Applications

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01.09.2009 | Original Article

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

verfasst von: M. Liu, S. M. Lo, B. Q. Hu, C. M. Zhao

Erschienen in: Neural Computing and Applications | Ausgabe 6/2009

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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 evaluation system for computing the fire risk ranking of buildings. It could serve for multi-level fire safety assessment framework. Linguistic terms were adopted instead of subjective numerical values. A two-level evaluation model, including fuzzy optimal classification model and linear weighted mean model, was developed to facilitate the synthetic process. A case of fire safety ranking in high-rise residential buildings in Hong Kong was presented for illustration purpose. The evaluation result was analyzed by the maximum membership degree principle method.

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For buildings that were constructed in accordance with the old prescriptive requirements, the safety level provided in these buildings might not be the same as the standard enforced today. Assessment on the basis of current prescriptive requirements might be regarded as “sub-standard”. However, whether such standard warrants immediate improvement action might subject to contention. If all the buildings which are constructed according to previous prescriptive requirements are required to improve at the same time, the society may be difficult to admit the huge cost burden.

Samrout M, Yalaoui F, Chatelet E, Chebbo N (2005) New methods to minimize the preventive maintenance cost of series-parallel systems using ant colony optimization. Reliab Eng Syst Saf 89(3):346–354. doi:10.1016/j.ress.2004.09.005 CrossRef

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

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

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

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 CrossRef

Yuen KK, Kwok WK, LO SM, Liang J (2007) Heat and mass transfer in concrete at elevated temperature. Numer Heat Transf Part A Appl 51(5):469–494. doi:10.1080/10407780600829712 CrossRef

Cheng CCK, Lam KM, Yuen KK, Lo SM (2007) A Study of natural ventilation in a refuge floor. Build Environ 42(9):3322–3332. doi:10.1016/j.buildenv.2006.08.031 CrossRef

Cheung SCP, Yeoh GH, Cheung ALK, Yuen KK, Lo SM (2007) Flickering behavior of turbulent buoyant fires using large-eddy simulation. Numer Heat Transf Part A Appl 52(8):679–712CrossRef

Zhi GS, Lo SM, Fang Z (2003) A graph based algorithm for extracting units and loops from architectural floor plans for a building evacuation model. Computer Aided Des 35:1–14. doi:10.1016/S0010-4485(01)00171-3 CrossRef

10.

Fang Z, Lo SM, Lu JA (2003) On the relationship between crowd density and movement velocity. Fire Saf J 38(3):271–284. doi:10.1016/S0379-7112(02)00058-9 CrossRef

11.

Lo SM, Fang Z, Zhi GS (2004) An evacuation model: the SGEM package. Fire Saf J 39:169–190. doi:10.1016/j.firesaf.2003.10.003 CrossRef

12.

Lo SM, Huang HC, Wang P, Yuen KKR (2006) A game theory based exit selection model for evacuation. Fire Saf J 41:364–369. doi:10.1016/j.firesaf.2006.02.003 CrossRef

13.

Lin P, SM LO, Yuen KK, Huang HC, Liang J (2007) A granular dynamic method for modeling the egress pattern at an exit. Fire Saf J 42(5):377–383. doi:10.1016/j.firesaf.2006.12.007 CrossRef

14.

Lin P LO SM, Huang HC, Yuen KK (2008) On the use of multi-stage time-varying quickest time approach for optimization of evacuation planning. Fire Saf J 43:282–290

15.

Marchant EW (1982) Fire safety evaluation (points) scheme for patient areas within Hospitals. Report, Department of Fire Safety Engineering, University of Edinburgh

16.

Nelson HE, Shibe AJ, Levin BM, Thorne SD, Cooper LY (1984) Fire safety evaluation system for national park service overnight accommodations. National Bureau of Standards, Gaithersburg, NBSIR 84-2896

17.

Shields TJ, Silcock GW, Bell Y (1986) Fire safety evaluation of dwellings. Fire Saf J 10(1):29–36. doi:10.1016/0379-7112(86)90029-9 CrossRef

18.

International Atomic Energy Agency (1993) Manual for the classification and prioritization of risks due to major accidents in process and related industries. International Atomic Energy Agency, Vienna

19.

Dodd FJ, Donegan HA (1994) Some considerations in the combination and use of expert opinions in ire safety evaluation. Fire Saf J 22(4):315–327. doi:10.1016/0379-7112(94)90038-8 CrossRef

20.

Dow Chemical Limited (1994) Dow’s fire and explosion index hazard classification guide, 7th edn. American Institute of Chemical Engineers, New York

21.

NFPA101A (1995) Guide on alternative approaches to life safety. National Fire Protection Association, Quincy

22.

Khan FI, Abbasi SA (1998) Multivariate hazard identification and ranking system. Process Saf Prog 17(3):157–170. doi:10.1002/prs.680170303 CrossRef

23.

Parks LL, Kushler BD, Serapiglia MJ, McKenna LA, Watts JM (1998) Fire risk assessment for telecommunications central offices. Fire Technol 34(2):156–176. doi:10.1023/A:1015329519575 CrossRef

24.

Hsueh SL, Perng YH, Yan MR, Lee JR (2007) On-line multi-criterion risk assessment model for construction Joint Ventures in China. Autom Construct 16(5):607–619. doi:10.1016/j.autcon.2007.01.001 CrossRef

25.

Chow WK, Wong LT, Kwan ECY (1999) A proposed fire safety ranking system for old high-rise buildings in the Hong Kong special administrative region. Fire Mater 23(1):27–31. doi:10.1002/(SICI)1099-1018(199901/02)23:1<27::AID-FAM666>3.0.CO;2-R CrossRef

26.

Chow WK, Lui GCH (2001) A fire safety ranking system for karaoke establishments in Hong Kong. J Fire Sci 19(2):106–120. doi:10.1106/Q1Q0-8VU2-6AY1-LK86 CrossRef

27.

Chow WK, Lui GCH (2002) A proposed fire safety ranking system for karaoke establishments and its comparison with the NFPA-fire safety evaluation system. Build Environ 37(6):647–656. doi:10.1016/S0360-1323(01)00073-7 CrossRef

28.

Watts JM (1995) Fuzzy fire safety. Fire Technol 31(3):193–194. doi:10.1007/BF01039190 CrossRef

29.

Zadeh LA (1965) Fuzzy Set. Inf Contr 8:338–353. doi:10.1016/S0019-9958(65)90241-X MATHCrossRefMathSciNet

30.

Zadeh LA (1973) Outline of new approaches to analysis of complex systems and decision processed. IEEE Trans Syst Man Cybernet 3 SMC-3 (1):28–44

31.

Lo SM (1999) A fire safety assessment system for existing buildings. Fire Technol 35(2):131–152. doi:10.1023/A:1015463821818 CrossRef

32.

Zhao CM, Lo SM, Lu JA, Fang Z (2004) A simulation approach for ranking of fire safety attributes of existing buildings. Fire Saf J 39(7):557–579. doi:10.1016/j.firesaf.2004.06.001 CrossRef

33.

Paralikas AN, Lygeros AI (2005) A multi-criteria and fuzzy logic based methodology for the relative ranking of the fire hazard of chemical substances and installations. Process Saf Environ Prot 83(B2):122–134. doi:10.1205/psep.04236 CrossRef

34.

Tsai CH, Chen CW, Chiang WL, Lin ML (2008) Application of geographic information system to the allocation of disaster shelters via fuzzy models. Eng Comput 25(1/2):86–100. doi:10.1108/02644400810841431

35.

Chen CW, Yeh K, Chiang WL, Chen CY, Wu DJ (2007) Modeling H-infinity control and stability analysis for structural systems using Takagi-Sugeno fuzzy model. J Vib Contr 13(1):1519–1534. doi:10.1177/1077546307073690 CrossRefMathSciNet

36.

Hsiao FH, Chen CW, Liang YW, Xu SD, Chiang WL (2005) T-S fuzzy controller for nonlinear interconnected systems with multiple time delays. IEEE Trans Circuits Syst I Regul Papers 52(1):1883–1893CrossRef

37.

Liu KFR (2003) A possibilistic petri net model for diagnosing cracks in RC structures. Comput Aided Civ Infrastruct Eng 18(6):426–439. doi:10.1111/1467-8667.00328 CrossRef

38.

Lo SM, Hu BQ, Liu M, Yuen KK (2005) On the use of reliability interval method and grey relational model for fire safety ranking of existing buildings. Fire Technol 41(4):255–270. doi:10.1007/s10694-005-3732-9 CrossRef

39.

Kochen M, Badre AN (1974) On the precision of adjectives which denote fuzzy sets. J Cybern 4(1):49–59. doi:10.1080/01969727408546055 CrossRef

Titel: On the use of fuzzy synthetic evaluation and optimal classification for computing fire risk ranking of buildings
verfasst von: M. Liu
S. M. Lo
B. Q. Hu
C. M. Zhao
Publikationsdatum: 01.09.2009
Verlag: Springer-Verlag
Erschienen in: Neural Computing and Applications / Ausgabe 6/2009
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-009-0244-4

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