Rui Yong
Papers
2
Total Citations
30
H-Index
2
About
Rui Yong is a prominent researcher in the field of multicriteria decision-making (MCDM) under uncertainty, with a particular focus on fuzzy set theory and its extensions. Their work centers on developing novel mathematical frameworks to handle imprecise, ambiguous, and unreliable information in complex decision environments. A key contribution is the introduction of the **intuitionistic fuzzy credibility set (IFCS)**, which enhances traditional intuitionistic fuzzy sets by incorporating a credibility degree alongside membership and non-membership values. This innovation, detailed in their highly cited 2021 paper (21 citations), provides a more robust tool for performance evaluation, such as assessing industrial robots. Yong has also advanced the theory of **linguistic neutrosophic Z-numbers**, combining linguistic variables with reliability measures to create more human-like and trustworthy decision models. Their 2022 work on weighted aggregation operators for linguistic neutrosophic Z-numbers (9 citations) further demonstrates their impact on group decision-making. By bridging theoretical fuzzy mathematics with practical applications, Rui Yong’s research offers powerful solutions for engineering and management problems where data is inherently vague or subjective.
Research Focus
Key Achievements
Top Papers
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- 2