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Empowering decentralized identity systems for Web 3.0 in complex spherical fuzzy knowledge.

Masfa Nasrullah Ansari1, Abdul Razaq2, Hanan Alolaiyan3

  • 1Department of Mathematics, Government College University, Faisalabad, 38000, Pakistan.

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This study introduces new Yager aggregation operators within the complex spherical fuzzy environment to improve decision-making for Web 3.0 decentralized identity management, enhancing digital privacy and security.

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Complex spherical fuzzy setsMulti-criteria decision-making problemsYager ordered weighted averaging operatorYager ordered weighted geometric operator

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Area of Science:

  • Computer Science
  • Information Security
  • Artificial Intelligence

Background:

  • Web 3.0 emphasizes decentralization, security, and personalized user experiences.
  • Decentralized Identity Management (DIM) is crucial for managing digital personas in Web 3.0.
  • Multicriteria Decision-Making (MCDM) challenges require robust aggregation techniques for imprecise data.

Purpose of the Study:

  • To enhance Web 3.0 decision-making scenarios using Yager aggregation operators within the Complex Spherical Fuzzy (CSF) environment.
  • To introduce novel aggregation operators, Complex Spherical Fuzzy Yager-Ordered Weighted Averaging (CSFYOWA) and Complex Spherical Fuzzy Yager-Ordered Weighted Geometric (CSFYOWG).
  • To develop an algorithm for MCDM problems and apply it to optimize digital identity and data privacy in Web 3.0.

Main Methods:

  • Development of two new aggregation operators: CSFYOWA and CSFYOWG.
  • Elucidation of structural characteristics and an updated score function for the CSF framework.
  • Application of proposed operators and algorithm to solve MCDM problems in Web 3.0 privacy preservation.

Main Results:

  • Introduction of novel CSFYOWA and CSFYOWG operators with improved score function for CSF.
  • Development of an effective MCDM algorithm tailored for Web 3.0 privacy challenges.
  • Demonstration of the proposed techniques' efficacy through comparative analysis.

Conclusions:

  • The proposed Yager aggregation operators and MCDM algorithm offer a significant advancement for decision-making in Web 3.0 environments.
  • These methods effectively address uncertainties and enhance privacy solutions for digital identity and data.
  • The research validates the superiority of the novel techniques over existing approaches for Web 3.0 applications.