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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >The Development of Demand Identification Model for Poverty Alleviation Subjects Using Fuzzy Proximity
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The Development of Demand Identification Model for Poverty Alleviation Subjects Using Fuzzy Proximity

机译:采用模糊接近的扶贫对象需求识别模型的开发

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Given that there are problems of difficulty to identify accurately the poverty alleviation subjects’ demands. This research puts forward and applies the fuzzy proximity method on the basis of the fuzzy set theory. The method can identify accurately the demands of poverty alleviation subjects. This study calculated the fuzzy proximity vector and the positive and negative ideal grades of the four demand types, according to six poverty characteristic indexes. The demand types are determined. Then, the paper takes a case about the demand identification of a poverty alleviation subject in a village, Shanxi province in China. The application result showed that (1) the demand identification model can help identify accurately the demands of poverty alleviation subjects; (2) the poverty alleviation strategies provide a reference for the government to carry out poverty alleviation work.
机译:鉴于难以准确地识别扶贫受试者的要求存在问题。本研究提出并在模糊集理论的基础上提出了模糊的接近方法。该方法可以准确识别扶贫对象的需求。这项研究根据六种贫困特征指标计算了四种需求类型的模糊接近载体和正负理想级。确定需求类型。然后,本文采取了关于中国山西省村村扶贫主体的需求识别的案例。申请结果表明,(1)需求识别模型可以帮助确定扶贫对象的需求; (2)扶贫战略为政府开展扶贫工作提供了参考。

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