Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
October 15, 2025International Journal of Research and Innovation in Applied ScienceOpen Access

Correlation Measure for Neutrosophic Hesitant Fantastic Filter for Supply Chain Management

View Full Paper
Ask AI
Bookmark
Share

Authors

PSP. SusithabanuVNV. Nirmala

Discussion

Loading...

Member takes

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
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Correlation coefficients between normal wiggly hesitant fuzzy sets and their applications2024 · 7 citations
  2. 2Novel complex fuzzy distance measures with hesitance values and their applications in complex decision-making problems2024 · 12 citations
  3. 3A novel MCGDM technique based on correlation coefficients under probabilistic hesitant fuzzy environment and its application in clinical comprehensive evaluation of orphan drugs2024 · 1 citations
  4. 4Applications of a novel probabilistic hesitant fuzzy correlation coefficient in medical diagnosis and students’ performance assessment2026
  5. 5Probabilistic hesitant fuzzy multiple criteria decision-making with triangular norm based similarity and entropy measures2024 · 1 citations