IDEAS home Printed from https://ideas.repec.org/a/taf/rpanxx/v12y2012i3p614-628.html
   My bibliography  Save this article

Choosing the best Twenty20 cricket batsmen using ordered weighted averaging

Author

Listed:
  • Sujeet Kumar Sharma
  • R. Gholam Amin
  • Said Gattoufi

Abstract

This paper provides a way to evaluate and choose the best Twenty20 (T20) cricket batsmen using ordered weighted averaging (OWA) operator. The paper suggests an OWA evaluation method for a cricket batsman using multiple attributes related to the player’s performance. A dataset consisting of ten important attributes for 24 T20 Indian Premier League 4 (IPL 4) cricket batsmen is used to choose the best players. Also, a comparison result shows the advantage of using the proposed OWA method. The proposed method in this paper can also be used for evaluation of T20 bowlers in turn in the selection of a T20 cricket team.

Suggested Citation

  • Sujeet Kumar Sharma & R. Gholam Amin & Said Gattoufi, 2012. "Choosing the best Twenty20 cricket batsmen using ordered weighted averaging," International Journal of Performance Analysis in Sport, Taylor & Francis Journals, vol. 12(3), pages 614-628, December.
    • Handle: RePEc:taf:rpanxx:v:12:y:2012:i:3:p:614-628
    DOI: 10.1080/24748668.2012.11868623
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24748668.2012.11868623
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/24748668.2012.11868623?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Arnab Adhikari & Adrija Majumdar & Gaurav Gupta & Arnab Bisi, 2020. "An innovative super-efficiency data envelopment analysis, semi-variance, and Shannon-entropy-based methodology for player selection: evidence from cricket," Annals of Operations Research, Springer, vol. 284(1), pages 1-32, January.

    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:taf:rpanxx:v:12:y:2012:i:3:p:614-628. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RPAN20 .

    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.