IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789814696357_0008.html
   My bibliography  Save this book chapter

Non-Parametric Test With Fuzzy Data And Its Applications In The Performance Evaluation Of Customer Capital

In: Quantitative Modelling in Marketing and Management

Author

Listed:
  • Yu-Lan Lee
  • Ming-leih Wu
  • Chunti Su

Abstract

In such a globalised era accompanied with dramatically competitive waves, contemporary community colleges have drawn more and more attention on their performance management. This study aims to measure performance from customer capital and propose solutions that can effectively improve the performance measurement on community colleges. We utilise soft computing method to design a performance evaluation model. By fuzzy statistical methods, we retrieve the community college management features and build up performance indicators, such as enrollment, satisfaction, and attendance for customer capital. Community colleges can perform effective decision-making on performance evaluation by adapting the analysis of customer capital.

Suggested Citation

  • Yu-Lan Lee & Ming-leih Wu & Chunti Su, 2015. "Non-Parametric Test With Fuzzy Data And Its Applications In The Performance Evaluation Of Customer Capital," World Scientific Book Chapters, in: Luiz Moutinho & Kun-Huang Huarng (ed.), Quantitative Modelling in Marketing and Management, chapter 8, pages 241-254, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789814696357_0008
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789814696357_0008
    Download Restriction: Ebook Access is available upon purchase.

    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789814696357_0008
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

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

    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:wsi:wschap:9789814696357_0008. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    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.