Parameterized Neutrosophic Hesitant Fuzzy Soft Sets for Modeling Cross-Cultural Communication from the Perspective of International Big Data Dissemination

Cross-cultural communication has been inherently fraught with ambiguity owing to a broad variety in languages, norms, perceptions, and misinterpretations. As a remedy, this paper proposes a novel neutrosophic framework, termed Parameterized Neutrosophic Hesitant Fuzzy Soft Sets (PNHFSS). PNHFSS offers a new integration of expressive modeling forces of neutrosophic logic, hesitation handling of hesitant fuzzy sets, as well as the parameterization flexibility of soft sets in a unified approach. This enables robust representation of ambiguous, indeterminate, and conflicting cross-cultural information. The study offers a formal and insightful definition of PNHFSS structure, introducing its set theoretic operations. We also propose a novel aggregation operator that is entropy-guided, parameter-selective, and conflict-aware. A real-world case study on cross-cultural communication based on the perspective of international dissemination of big data is presented with the inclusion of multiple experts to demonstrate the effectiveness of PNHFSS driven decisions. The results demonstrate that PNHFSS can be regarded as a powerful and interpretable method for modeling and analyzing cultural ambiguities in cross-cultural communication environments.