IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5630295.html
   My bibliography  Save this article

Evaluation of Competitive Performance Ability of Basketball Players Based on Hybrid Model

Author

Listed:
  • Lin Li
  • Wei Zhang
  • Lianhui Li

Abstract

Competitive performance ability is the on-the-spot performance of basketball players’ comprehensive use of technical and tactical, physical, and psychological abilities. Because basketball players’ competitive performance includes many evaluation contents and influencing factors, it is difficult to comprehensively and objectively use a single qualitative analysis or quantitative statistics for evaluation and measurement. Based on the analytic hierarchy process (AHP) and intelligent fuzzy comprehensive evaluation, this research establishes a hybrid model, which is applied to evaluate the performance of basketball players. Based on the actual needs, this research uses the relevant theories in the discipline of sports training, with abundant empirical data materials, combined with the specific practice of basketball players’ training and competition, starting from the concept of clear sports intelligence, to further determine the indicators of the basketball players’ sports intelligence evaluation system and weights, construct a set of evaluation system about basketball players, and use this as a standard to evaluate and judge the current situation of basketball players’ sports intelligence.

Suggested Citation

  • Lin Li & Wei Zhang & Lianhui Li, 2022. "Evaluation of Competitive Performance Ability of Basketball Players Based on Hybrid Model," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-6, August.
  • Handle: RePEc:hin:jnlmpe:5630295
    DOI: 10.1155/2022/5630295
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5630295.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5630295.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5630295?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:5630295. 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.