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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 1-20, February.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:4:p:582-:d:1339173
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    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Bo Hu & Lvqing Bi & Songsong Dai, 2019. "Complex Fuzzy Power Aggregation Operators," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-7, December.
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