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USE OF PATTERN RECOGNITION IN EARTHQUAKE INTENSITY
PROBABILISTIC MODEL FOR EARTHQUAKE VULNERABILITY ANALYSIS
USE OF FUZZY SETS IN EARTHQUAKE INTENSITY AND DAMAGE
4 other sections not shown
applications approaching degree Bayesian Chapter Coefficient of variation components Conference on Earthquake considered Damage Assessment damage distribution damage estimation damage forecasting damage level damage pattern vector damage ratio values data base defined degree matrix density function developed discriminant functions Earthquake Engineering earthquake intensity elements empirical Equation evaluation example experts factors fault activity Figure fraction of buildings Fuzzy Matrix fuzzy set theory given damage ground shaking intensity and damage intensity classification Intensity Scale judgment light damage mean damage ratio mean value medium damage membership function membership value method models nonstructural damage obtained P(DS parameters pattern recognition peak ground acceleration probabilistic probability density function Probability Matrix problem procedure random variable region relation relationships Report represented response Scholl Section seismic design seismic hazard seismic intensity seismic loading seismic risk Shah standard deviation statistical struc structural damage Table theory of fuzzy types of structures uncertainty VIII