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

Yanhong Han; Jiarui Dai; JianPing Li

Authors

Yanhong Han College of Media, Handan University, Handan, 056002, Hebei, China
Jiarui Dai College of Media, Handan University, Handan, 056002, Hebei, China
JianPing Li College of Media, Handan University, Handan, 056002, Hebei, China

Keywords:

Neutrosophic Logic, Neutrosophic Sets, Neutrosophic Hesitant Fuzzy Sets, Cross Cultural Communication, Hesitant Information, Neutrosophic Decision-Making, Cultural Uncertainty Modeling

Abstract

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.

DOI: 10.5281/zenodo.16708219