IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/4314263.html
   My bibliography  Save this article

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

Author

Listed:
  • Shuwei Jing
  • Rui Li
  • Junai Yan
  • Sujiao Zhang

Abstract

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.

Suggested Citation

  • Shuwei Jing & Rui Li & Junai Yan & Sujiao Zhang, 2019. "The Development of Demand Identification Model for Poverty Alleviation Subjects Using Fuzzy Proximity," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-10, December.
    • Handle: RePEc:hin:jnlmpe:4314263
    DOI: 10.1155/2019/4314263
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2019/4314263.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2019/4314263.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2019/4314263?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:4314263. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.