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June 2, 2026Journal of Applied MathematicsOpen Access

An Integrated T‐Spherical Fuzzy 2‐Tuple Linguistic WASPAS Framework With Hamy Mean Aggregation for Wildlife Conservation Planning

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Authors

WDWejdan DeebaniMIMuhammad IbrarZSZahir Shah

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Overview

Randomized trial evaluates decision-making methods in wildlife conservation, highlighting their effectiveness.

Key Points

  • The aim is to develop new aggregation operators within the T-spherical fuzzy framework to enhance decision-making for wildlife conservation.
  • Established weighted Hamy mean and weighted dual Hamy mean operators within T-SF2TL sets.
  • Developed a maximization deviation model for evaluating the weights of criteria.
  • Expanded the weighted aggregated sum product assessment (WASPAS) method for decision-making.
  • Demonstrated effectiveness of the aggregation operators with real-life wildlife conservation scenarios in China.
  • Comparison with existing methodologies showed enhanced decision-making capabilities.

Cite This Study

Deebani et al. (2026) studied this question.

synapsesocial.com/papers/6a1e72ad30b38c64201b5e63https://doi.org/10.1155/jama/2428239
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