IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2868970.html
   My bibliography  Save this article

Decision-Making Framework Based on Multineutrosophic Soft Rough Sets

Author

Listed:
  • Kholood Mohammad Alsager
  • Lazim Abdullah

Abstract

The uncertain data appear in majority of real-world phenomena regarding business, engineering, manufacturing, industries, medical, and other social fields. The neutrosophic sets (NSs), soft sets (SSs), and rough sets (RSs) are distinct mathematical models to deal with different types of uncertainties in data and information. Nowadays, several hybrid models are emerging as their combination or their further generalizations. In this paper, the concept of multineutrosophic fuzzy soft rough sets (MNFSRSs) by combining multineutrosophic fuzzy soft sets (MNSSs) with RSs is presented. Certain eminent features of the proposed structure are investigated. Moreover, a general decision-making (DM) algorithm is described for DM problems to indicate the effectiveness of the presented model.

Suggested Citation

  • Kholood Mohammad Alsager & Lazim Abdullah, 2022. "Decision-Making Framework Based on Multineutrosophic Soft Rough Sets," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-13, May.
  • Handle: RePEc:hin:jnlmpe:2868970
    DOI: 10.1155/2022/2868970
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/2868970.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/mpe/2022/2868970.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/2868970?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:2868970. 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.