Probabilistic Interval-Valued Neutrosophic for Assessment of University Language Service Talent Development of Hainan Province Free Trade Port

The need for strong, globally focused language services has increased significantly as Hainan Province develops its Free Trade Port (FTP). Hainan's universities are essential to this development because they develop talent, offer translation and interpretation services, and promote intercultural dialogue. Using uncertainty framework, this study attempts to assess the present state and caliber of university language service development in support of the FTP. The availability of multilingual services, the caliber of translations, assistance for overseas students, and the incorporation of digital language aids were among the ten assessment criteria that were determined. We use the Probabilistic Interval-Valued Neutrosophic Hesitant Fuzzy Set (PIVNHFS) to solve uncertainty information. The contributions, preparedness, and innovation levels of ten university programs and service centers were evaluated. The results point to both service capacity strengths and weaknesses, especially with relation to adopted digital tools, applied translation, and cooperation with industry stakeholders. Considering regional growth and economic globalization, the assessment supports language services capacity building and strategic planning.

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-07-20
DOI
https://doi.org/10.5281/zenodo.16237272
Primary Topic
Multi-Criteria Decision Making
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Probabilistic Interval-Valued Neutrosophic for Assessment of University Language Service Talent Development of Hainan Province Free Trade Port

SHILAP Revista de lepidopterología
Multi-Criteria Decision Making
article

Probabilistic Interval-Valued Neutrosophic for Assessment of University Language Service Talent Development of Hainan Province Free Trade Port

article en

Abstract

The need for strong, globally focused language services has increased significantly as Hainan Province develops its Free Trade Port (FTP). Hainan's universities are essential to this development because they develop talent, offer translation and interpretation services, and promote intercultural dialogue. Using uncertainty framework, this study attempts to assess the present state and caliber of university language service development in support of the FTP. The availability of multilingual services, the caliber of translations, assistance for overseas students, and the incorporation of digital language aids were among the ten assessment criteria that were determined. We use the Probabilistic Interval-Valued Neutrosophic Hesitant Fuzzy Set (PIVNHFS) to solve uncertainty information. The contributions, preparedness, and innovation levels of ten university programs and service centers were evaluated. The results point to both service capacity strengths and weaknesses, especially with relation to adopted digital tools, applied translation, and cooperation with industry stakeholders. Considering regional growth and economic globalization, the assessment supports language services capacity building and strategic planning.

SHILAP Revista de lepidopterología
Openalex Percentile: Top 50%
Multi-Criteria Decision Making
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Probabilistic Interval-Valued Neutrosophic for Assessment of University Language Service Talent Development of Hainan Province Free Trade Port · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS