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Study On Grain Security Warning System By Grey-relation And Layer Analysis Method

Posted on:2009-03-17Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhouFull Text:PDF
GTID:2189360242496033Subject:Applied Mathematics
Abstract/Summary:PDF Full Text Request
The great cohesion of the Chinese nation has been verified once again by fighting that heavy snow what happened in January 2008. When the whole country was fighting against snowstorm, people have gradually realized if the preparedness could be down, it might not be so bad! Be vigilant in peace time, this short term implied practical significance regardless of time and space. Especially about the grain problem, we have to think that with yes.From the end of last year to early this year, food security problem the alarmed the world once again. FAO said that world grain prices rose in 37 countries have caused the food crisis. Grain security and the loan-to-crisis have become hot topics now. China has a population of 1.3 billion, for such a large population, grain consumption for the country to solve grain problems must always uphold the basic principle of relying on domestic, and ensure that a certain amount of inventory, and the necessary food self-sufficiency. Grain security is a key part of national economy security.In this paper, the main innovation is the integrated use of the establishment of a comprehensive level of analysis of grain warning models combined with grey correlation analysis to determine the weight of national grain security system. The status quo and the level of clarification in grain on the number of unreasonable understanding, and trying to find some of China's food security strategies and measures aimed at China's agricultural development to ensure that the basic food self-sufficiency in the supply and demand balance to provide theoretical guidance. The results show that: the model of the conclusions reached basic agreement with the actual situation, and it can be used for early warning and monitoring.
Keywords/Search Tags:grain security, warning system, layer analysis method, grey-relation
PDF Full Text Request
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