IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/5354573.html
   My bibliography  Save this article

Application of Fusion of Fuzzy Mathematical Clustering Analysis in Enterprise Financial Management Cloud Platform

Author

Listed:
  • Xianli Zhang
  • Sagheer Abbas

Abstract

The enterprise financial management cloud platform can conveniently obtain computing resources such as network, storage, and services according to actual needs based on the network. The maintenance of resources can be realized in a general way, and various computers and their storage resources can be effectively integrated and effectively utilized. But internal conflicts within the company, such as asset management issues, can seriously hinder the company’s long-term growth. In order to solve the above problems, this paper analyzes the actual needs of the current financial information management personnel of enterprises and the business process of financial management. Combined with the characteristics and requirements of the current enterprise financial management, the integrated fuzzy mathematics cluster analysis was introduced to complete the design and implementation of the financial IMS, and to build a modern, systematic, and scientific enterprise management system. It greatly improves the financial level of the enterprise and the intelligent level of enterprise management, provides objective and strong support for enterprise decision-making through the enterprise’s financial management ability, and finally realizes the long-term development of the enterprise. The prediction effect of the samples under the FCM is shown in Table 3. The prediction effect of the training samples of the normal company is 83.33%, and the prediction effect of the training samples of the ST company is 80%. The test sample prediction effect of normal company is 83.33%, the test sample prediction effect of ST company is 80%, and the comprehensive prediction effect under the FCM is 85.28%.

Suggested Citation

  • Xianli Zhang & Sagheer Abbas, 2022. "Application of Fusion of Fuzzy Mathematical Clustering Analysis in Enterprise Financial Management Cloud Platform," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, September.
  • Handle: RePEc:hin:jnlmpe:5354573
    DOI: 10.1155/2022/5354573
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5354573.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/5354573.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/5354573?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:5354573. 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.