IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i4p582-d1339173.html
   My bibliography  Save this article

Improving Risk Assessment Model for Cyber Security Using Robust Aggregation Operators for Bipolar Complex Fuzzy Soft Inference Systems

Author

Listed:
  • Zeeshan Ali

    (Department of Mathematics and Statistics, Riphah International University, Islamabad 44000, Pakistan)

  • Miin-Shen Yang

    (Department of Applied Mathematics, Chung Yuan Christian University, Taoyuan 32023, Taiwan)

Abstract

Improving a risk assessment technique for the problem of cyber security is required to modify the technique’s capability to identify, evaluate, assess, and mitigate potential cyber threats and ambiguities. The major theme of this paper is to find the best strategy to improve and refine the cyber security risk assessment model. For this, we compute some operational laws for bipolar complex fuzzy soft (BCFS) sets and then propose the BCFS weighted averaging (BCFSWA) operator, BCFS ordered weighted averaging (BCFSOWA) operator, BCFS weighted geometric (BCFSWG) operator, and BCFS ordered weighted geometric (BCFSOWG) operator. Furthermore, we give their properties, such as idempotency, monotonicity, and boundedness. Additionally, we improve the risk assessment technique for the cyber security model based on the proposed operators. We illustrate the technique of multi-attribute decision-making (MADM) problems for the derived operators based on BCFS information. Finally, we compare our ranking results with those of some existing operators for evaluating and addressing the supremacy, validity, and efficiency of these operators under BCFS information.

Suggested Citation

  • Zeeshan Ali & Miin-Shen Yang, 2024. "Improving Risk Assessment Model for Cyber Security Using Robust Aggregation Operators for Bipolar Complex Fuzzy Soft Inference Systems," Mathematics, MDPI, vol. 12(4), pages 1-19, February.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:4:p:582-:d:1339173
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/4/582/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/4/582/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cengiz Kahraman & Selcuk Cebi & Basar Oztaysi & Sezi Cevik Onar, 2023. "Intuitionistic Fuzzy Sets with Ordered Pairs and Their Usage in Multi-Attribute Decision Making: A Novel Intuitionistic Fuzzy TOPSIS Method with Ordered Pairs," Mathematics, MDPI, vol. 11(18), pages 1-13, September.
    2. Tahir Mahmood & Ubaid ur Rehman & Zeeshan Ali & Muhammad Aslam & Ronnason Chinram, 2022. "Identification and Classification of Aggregation Operators Using Bipolar Complex Fuzzy Settings and Their Application in Decision Support Systems," Mathematics, MDPI, vol. 10(10), pages 1-19, May.
    3. Bo Hu & Lvqing Bi & Songsong Dai, 2019. "Complex Fuzzy Power Aggregation Operators," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-7, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhiping Xu & Ubaid ur Rehman & Tahir Mahmood & Jabbar Ahmmad & Yun Jin, 2023. "Assessment of Structural Systems to Design Earthquake Resistance Buildings by Employing Multi-Attribute Decision-Making Method Based on the Bipolar Complex Fuzzy Dombi Prioritized Aggregation Operator," Mathematics, MDPI, vol. 11(10), pages 1-22, May.

    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:gam:jmathe:v:12:y:2024:i:4:p:582-:d:1339173. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.