The Development of Demand Identification Model for Poverty Alleviation Subjects Using Fuzzy Proximity

• Published in: Mathematical problems in engineering Vol. 2019; no. 2019; pp. 1 - 10
• Main Authors: Zhang, Sujiao, Yan, Junai, Li, Rui, Jing, Shuwei
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 2019; Hindawi; John Wiley & Sons, Inc
• Subjects: Demand; Fuzzy set theory; Fuzzy sets; Identification; Illnesses; Infrastructure; Pilot projects; Poverty; Proximity; Research methodology; Rural areas; Studies; China
• ISSN: 1024-123X; 1563-5147
• DOI: 10.1155/2019/4314263

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.