The Application of Data-Fusing Method of D-S Evidence Theory to the Processing of Supervision Data from Geographical Hazards

A great deal of damage caused by geographical hazards has bothered many countries in the world and therefore lots of hazard-supervising and warning systems have been developed to minimize possible damage. Supervision data have been traditionally processed massively and intensively and thus it is hard to calculate the great amount of data timely. This paper, based on data-fusing theories, studies the solution to the processing of supervision data instantly through the application of data-fusing method of D-S evidence theories to the processing and furthermore puts forth early warning procedures of geographical hazards driven by incidents which are to enrich the existing early warning systems and thus spare time to tackle hazards.