Application of Information Fuzzy in the Risk Evaluation of Agro-meteorological Disasters

摘要

Agro-meteorological disasters restrict the fast and healthy high frequency and severe intensity. This is always an important research topic for the majority of meteorologists. A lot of progress in research on agro-meteorological disasters has been made in past decade supported by national key projects and other program. The emphasis of research on agro-meteorological disasters in China are improving monitoring system and forecast services and building the system of risk assessment and prevention system in recent decade.In this paper, we study on maize drought disaster risk assessment of Chongqing. This work mainly takes into acount three aspects, respectively, the meteorological conditions of Sichuan, Guizhou and Chongqing itself. The methods used in this article are Analytical Hierarchy Process and Dempster-Shafer (DS) theory of evidence. A new model and the detailed procedures of Problem solving are shown in our work.