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Application of Gray Metabolic Model in the Prediction of the Cotton Output in China AgEcon
Zhou, Zu-liang; Yin, Chun-wu.
In order to forecast the cotton output of China in the year 2011, Gray Metabolic Forecast Model is established based on both the Gray Forecast Model and the Metabolic Theory. According to the actual situation, forecast results of conventional GM (1, 1) Model and Metabolism GM (1, 1) Model are analyzed, showing that Metabolic Forecast Model has higher precision than the conventional forecast model. Therefore, Metabolism GM (1, 1) Model is used to forecast the cotton output of China in the year 2011, which is 614968.3 thousand tons.
Tipo: Journal Article Palavras-chave: Gray system GM (1; 1) Model Cotton output China Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/108394
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Research on Site Selection Model of Distribution Center of Agricultural Products AgEcon
Li, Yong-xin; Yin, Chun-wu; Hui, Xiao-jian.
In the light of the practical situation of logistics distribution of agricultural products, we primarily select transportation factor, economic factor, environment factor, and other factors, to establish evaluation index system of site selection of distribution center of agricultural products. And then we adopt the analytic hierarchy process method to calculate weight of site selection of distribution center of agricultural products. Under the circumstance that the evaluation information is interval number, we use uncertain and multiple attribute decision making method to establish site selection model of distribution center of agricultural products. Finally, taking one city as an example, we discuss the application of this model in site selection of...
Tipo: Journal Article Palavras-chave: Distribution center of agricultural products; Model; Interval number; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/113502
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Evaluation Model of the Ecology Benefit Value of Woodland in China AgEcon
Wang, Xian-feng; Yin, Chun-wu.
Main influencing factors affecting the ecology benefit value of woodland are analyzed, mainly including the water conservation value, environment cleaning value, water and soil conservation value, and climate regulation value. Evaluation model of the ecology benefit value of woodland is put forward which can deal with the uncertain information. Method for determining index weights is discussed, as well as the processing method for uncertain information during the evaluation of ecology benefit value of woodland. Finally, the feasibility and convenience of the evaluation model of the woodland ecology benefit value are illustrated with examples.
Tipo: Journal Article Palavras-chave: Ecology benefit of woodland; Evaluation; Uncertain information; Weight; China; Agribusiness.
Ano: 2011 URL: http://purl.umn.edu/108470
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