A new algorithm for estimating the risk of natural disasters with incomplete data
In this paper, we propose a new algorithm For estimating the risk of natural disaster based on incomplete data. To guarantee reliability in theory, we prove in this paper that the estimator obtained by the algorithm is asymptotically unbiased and mean squared consistent. We also give two simulation experiments showing the advantage of the algorithm. To demonstrate its practicality, we further employ the new algorithm to estimate, with only 9 observations, the risk of flood, drought and wind in Changsha county of Hunan Province in China. All results show that the new algorithm, which can unravel fuzzy information in incomplete data, is better than the main existing methods for risk estimation of natural disaster with small samples.
incomplete data information diffusion risk assessment