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October 15, 2025International Journal of Research and Innovation in Applied ScienceOpen Access

Correlation Measure for Neutrosophic Hesitant Fantastic Filter for Supply Chain Management

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Authors

PSP. SusithabanuVNV. Nirmala

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Overview

This study demonstrates a correlation measure for neutrosophic hesitant fantastic filter, highlighting uncertainty in decision-making for supply chain management.

Key Points

  • The proposed correlation measure effectively computes relationships in neutrosophic hesitant fuzzy sets, enhancing decision-making.
  • Using truth, indeterminacy, and falsity membership degrees, the method quantifies uncertainty in the context of supply chain management.
  • The weighted correlation measure allows decision-makers to apply varying importance to different hedging aspects based on their preferences.
  • Incorporating probabilistic aspects and hesitation, the study addresses complex decision-making challenges faced in modern supply chains.

Cite This Study

Susithabanu et al. (2025) studied this question.

synapsesocial.com/papers/68efa18f9d05deea71d13e42https://doi.org/10.51584/ijrias.2025.100900037
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