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A novel distance-based evaluation strategy for spherical neutrosophic environments

  • Quang-Thinh Bui,
  • Tram B. T. Tran,
  • My-Phuong Ngo,
  • Tzung-Pei Hong,
  • Bay Vo

摘要

Spherical neutrosophic (SN) numbers, constraining truth, indeterminacy, and falsity within the spherical condition provide a method that flexibly handles uncertainty in decision-making. This study focuses on proposing new general operations and aggregation operators for SN numbers with reliable mathematical frameworks. Furthermore, integrating SN numbers with the EDAS (Evaluation based on the Distance from Average Solution) technique presents a novel approach to multi-criteria decision-making to create a new algorithm, SN-EDAS. This combination promotes theoretical and practical advancements in handling uncertain situations and improves the evaluation process for complex criteria. It provides a more adaptable, perceptive, and robust decision-making procedure. The efficacy and potential of the proposed approach to revolutionize decision-making in intricate and unpredictable situations are demonstrated by experimental evaluations.