Abstract
Abstract. The predictive analysis of natural disasters and their consequences is challenging because of uncertainties and incomplete data. The present article studies the use of variable fuzzy sets (VFS) and improved information diffusion method (IIDM) to construct a composite method. The proposed method aims to integrate multiple factors and quantification of uncertainties within a consistent system for catastrophic risk assessment. The fuzzy methodology is proposed in the area of flood disaster risk assessment to improve probability estimation. The purpose of the current study is to establish a fuzzy model to evaluate flood risk with incomplete data sets. The results of the example indicate that the methodology is effective and practical; thus, it has the potential to forecast the flood risk in flood risk management.
Subject
General Earth and Planetary Sciences
Reference36 articles.
1. Altay, N. and Green, W. G.: OR/MS research in disaster operations management, European J. Operational Res., 175, 475–493, 2006.
2. Anderson, J. D. and Wendt, J. F.: Computational fluid dynamics, McGraw-Hill, 1995.
3. Breiman, L., Meisel, W., and Purcll, M.: Variable kernel estimates of multivariate densities, Technometrics, 19, 135–144, 1977.
4. Brown, C. B.: A fuzzy safety measure, J. Eng. Mechanics Division, 105, 855–872, 1979.
5. Carlin, B. P. and Louis, T. A.: Bayes and empirical Bayes methods for data analysis, Stat. Comput., 7, 153–-154, 1997.
Cited by
18 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献