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Correlation Measure for Neutrosophic Hesitant Fantastic Filter for Supply Chain Management

Author

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  • P. Susithabanu

    (Department of Mathematics, Research Scholar, Karpagam Academy of Higher Education, Echanari, Coimbatore – 624021)

  • V. Nirmala

    (Faculty of Engineering, Karpagam Academy of Higher Education, Echanari, Coimbatore - 624021)

Abstract

In order to address the complexity of decision-making processes that incorporate uncertainty, hesitation, probabilistic aspects, and the Fantastic Filter method, we present the Correlation Measure (CM) for Neutrosophic Hesitant Fantastic Filter (NHFF). By taking into account the Truth Membership Hesitancy Degree (TMHD), Indeterminacy-Membership Hesitancy Degree (IMHD), and Falsity-Membership Hesitancy Degree (FMHD), the suggested measures provide a methodical way to compute the CM between probability neutrosophic hesitant fuzzy set and neutrosophic hesitant fantastic filter. The study also proposed the Weighted Correlation Measure (WCM) approach, which enables varied weighting according to the relative importance of truth, indeterminacy, and falsity degrees, as well as the risk preferences of decision-makers (DMs).

Suggested Citation

  • P. Susithabanu & V. Nirmala, 2025. "Correlation Measure for Neutrosophic Hesitant Fantastic Filter for Supply Chain Management," International Journal of Research and Innovation in Applied Science, International Journal of Research and Innovation in Applied Science (IJRIAS), vol. 10(9), pages 378-387, October.
    • Handle: RePEc:bjf:journl:v:10:y:2025:i:9:p:378-387
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