Comprehensive Assessment of Post- Earthquake Collapse Risk based on Fuzzy Evidence Theory

The post earthquake collapse is one of the important causes of the mountain town houses damaged and traffic congestion, it has important significance to carry on the scientific and reasonable assessment to take preventive measures accordingly. Aiming at the complexity of post earthquake collapse formation mechanism and the uncertainty of evaluation index, according to evidence theory and fuzzy set theory, a risk assessment method of collapse disaster can be taken into account interaction of multiple indicator has been proposed. In this method, the element of evidence space is firstly considered as fuzzy sets. Through the fuzzy probability to describe expert advice, which has combined with expert advice to get fuzzy sets to determine the probability distribution function. Then by the synthesis rules of evidence theory function, the trust degree function of post earthquake collapse risk can be obtained, thus the collation based on the risk levels of classification has been established. Finally, examples were provided to validate and prove its scientific and reasonable, which has provide a new way for post earthquake collapse risk evaluation.