An Huang
Papers
1
Total Citations
12
H-Index
1
About
An Huang is a distinguished researcher in risk assessment and decision science, whose work has significantly advanced the integration of multi-criteria decision-making (MCDM) methods with uncertainty modeling. Their most-cited paper, "FMEA Risk Assessment Method: Integration of Multi-Perspective Weights and Interval Cloud Model with TOPSIS Approach" (2025, 12 citations), introduces a novel framework that combines subjective and objective weighting with cloud model theory to enhance Failure Mode and Effects Analysis (FMEA). This contribution addresses critical gaps in traditional risk prioritization by handling linguistic ambiguity and group decision heterogeneity, offering a robust tool for industries like aerospace and manufacturing. Huang’s research bridges theoretical rigor and practical applicability, earning recognition for its methodological innovation. With a growing citation impact, their work is increasingly referenced in studies on risk management, fuzzy systems, and engineering reliability. Huang’s achievements underscore a commitment to developing transparent, data-driven solutions for complex risk environments, making them a rising voice in the field of industrial engineering and operations research.
Research Focus
Key Achievements
Top Papers
- 1