|
In recent years , earthquakes, landslides, mudslides and other geological disasters caused by a number of major casualties , and to society brought huge economic losses to people 's lives and property posed a huge threat , has aroused widespread concern . State leaders instructions, requiring good geological disaster early warning and forecasting work , the State Council issued the \To carry out geological hazard warning urgent task . Geological hazard warning in hazardous work needs on the basis of the partition , so geological hazard classification work is particularly important . Geological disasters affected by many factors, geological environmental conditions , vegetation cover , rainfall , and human factors engineering activities , and so may lead to geological disasters . The relationship between the factors is very subtle . So in an area known to the specific circumstances of each factor , how to combine the division of geological disasters, grade , and thus early warning forecasts , geological work has become a major issue. As mathematicians , for all kinds of practical work to provide a powerful mathematical tool is our big task . In the past, the natural disaster classification work, the traditional fuzzy comprehensive assessment is widely recognized and applied. But the paper argues that , because of its excessive reliance on experts consciousness , is bound by the instability of human factors greater impact on the results . To overcome this drawback , this article will go in addition to experts in one kind of awareness, judgment matrix using the actual data Improved AHP and fuzzy comprehensive evaluation combine to geological disasters in Jilin Province as an example for the grading , got the desired results , can provide early warning of geological disasters in the future to provide a reasonable basis for forecasting . This paper first introduces some basic concepts of fuzzy mathematics , highlighting the fuzzy comprehensive evaluation method . Then discusses the traditional AHP basic theory and basic steps , on this basis, the introduction of an improved AHP . Finally, based on improved AHP fuzzy comprehensive evaluation method is applied to an example, the level of geological disasters in Jilin Province has been divided , the results are satisfactory .
|