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June 12, 2026Complex & Intelligent SystemsOpen Access

Sugeno–Weber based WASPAS in Fermatean neutrosophic structure

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Authors

KWKah Lun WangUniversity of MalayaAAAbedallah Al-shboulUniversity of MalayaTRTaha RadwanQassim University

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Implication

Randomized trial develops new aggregation tools for decision-making, suggesting better outcomes in uncertain environments.

Key Points

  • This research aims to improve multi-criteria group decision-making under uncertainty using novel aggregation operators.
  • Developed the Fermatean neutrosophic Sugeno–Weber weighted averaging and geometric operators.
  • Incorporated these operators into the WASPAS method for decision-making.
  • Applied the framework to a numerical example involving solar panel supplier selection.
  • The FNSW operators and WASPAS model demonstrated robust solutions for complex decision-making under uncertainty.
  • Validated numerical examples indicated effective handling of incomplete information.
  • Confirmed the computational efficiency of the proposed aggregation approach.

Cite This Study

Wang et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba1438101cf8926f00d78https://doi.org/10.1007/s40747-026-02359-4
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