Risk assessment system of natural hazards:: A new approach based on fuzzy probability

被引:95
作者
Karimi, Iman [1 ]
Huellermeier, Eyke
机构
[1] Univ Aachen, Rhein Westfal TH Aachen, Dept Struct Stat & Dynam, D-52056 Aachen, Germany
[2] Univ Magdeburg, Fac Comp Sci, D-39106 Magdeburg, Germany
关键词
fuzzy relations; possibility theory; fuzzy statistics and data analysis; fuzzy probability; possibility-probability distribution;
D O I
10.1016/j.fss.2006.12.013
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper presents a system for assessing the risk of natural disasters, particularly under highly uncertain conditions, i.e. where either the statistical data nor the physical knowledge required for a purely probabilistic risk analysis are sufficient. The theoretical oundation of this study is based on employing fuzzy set theory to complement the probability theory with an additional dimension of uncertainty. This would allow for expressing the likelihood of natural hazards by fuzzy probability. The fuzzy probability is characterized in terms of possibility-probability distributions, for which a new approach has been developed. The new approach has been compared with an alternative approach. Moreover, uncertainties about the correlation of the parameters of hazard intensity, damage and loss, i.e. vulnerability relations, have been considered by means of fuzzy relations. The composition of fuzzy probability of hazard and fuzzy vulnerability relation yields the fuzzy probability of damage (or loss). The system has been applied for assessing the earthquake risk in Istanbul metropolitan area. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:987 / 999
页数:13
相关论文
共 23 条
[1]  
[Anonymous], POSSIBILITY THEORY
[2]  
[Anonymous], FUZZY RANDOMNESS
[3]   Empirical relationships between Modified Mercalli Intensity and response spectra [J].
Atkinson, GM ;
Sonley, E .
BULLETIN OF THE SEISMOLOGICAL SOCIETY OF AMERICA, 2000, 90 (02) :537-544
[4]  
Boore D.M., 1997, Seismol. Res. Lett, V68, P128, DOI DOI 10.1785/GSSRL.68.1.128
[5]   A behavioural model for vague probability assessments [J].
de Cooman, G .
FUZZY SETS AND SYSTEMS, 2005, 154 (03) :305-358
[6]  
DECOOMAN G, 1995, ADV FUZZY SYSTEMS, V8
[7]   UPPER AND LOWER PROBABILITIES INDUCED BY A MULTIVALUED MAPPING [J].
DEMPSTER, AP .
ANNALS OF MATHEMATICAL STATISTICS, 1967, 38 (02) :325-&
[8]  
Dubois D, 2000, HDB FUZZ SET SER, V7, P343
[9]  
DUBOIS D, 2001, P 2 INT S IMPR PROB
[10]  
DUBOIS D, 1991, P IFSA 1991, VM, P50