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Journal of Agricultural Science and Technology، جلد ۱۴، شماره ۴، صفحات ۷۱۵-۷۲۶
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عنوان انگلیسی Assessment of Grain Security in China by Using the AHP and DST Methods
چکیده انگلیسی مقاله China is one of the largest grain producing and consuming nations in the world and the importance of grain security to the Chinese can never be overemphasized. In this paper, we present a comprehensive early-warning model for evaluating the status of grain security in China. The model is based on the analytic hierarchy process (AHP) method and the Dempster–Shafer theory (DST). We divided the risk assessment into four stages. First, we seek risk sources and identify the indices to be used in the model. Then, we preprocess the index data to obtain the index directions and risk bounds. After that, we assign index weights via AHP method. Finally, we evaluate risk of grain security via DST method and determine the overall risk degree. An empirical analysis is conducted to demonstrate the use of the model for evaluating the status of grain security in China. The result shows that the model which conforms to the reality of China is effective and can be used as a grain security pre-warning monitoring tool.
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نویسندگان مقاله x y su | x y
department of electronics information and electric engineering, shanghai jiao tong university, 800 dongchuan road, shanghai, 200240, people amp;amp; 039;s republic of china.

j y wu | j y
hangzhou key lab of e-business and information security, hangzhou normal university, 16 xuelin road, hangzhou, 310036, people amp;amp; 039;s republic of china.

هری زانگ | h j
key laboratory of digital agricultural early-warning technology, ministry of agriculture, 12 south street, zhongguancun, haidian district, beijing, 100081, people amp;amp; 039;s republic of china.

z q li | z q
department of food science and technology, college of food science and technology, shanghai ocean university, shanghai, people amp;amp; 039;s republic of china.

x h سون | x h
department of food science and technology, college of food science and technology, shanghai ocean university, shanghai, people amp;amp; 039;s republic of china.

y deng |
department of computer and information sciences, southwest university, chongqing, people amp;amp; 039;s republic of china.

نشانی اینترنتی http://jast.modares.ac.ir/article_4845_12ad65129a65d4788ac20a2e12aa3c6a.pdf
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