Shuping Cheng
Papers
1
Total Citations
5
H-Index
1
About
Shuping Cheng is a leading researcher in multiple criteria decision analysis (MCDA) and risk-based decision-making, with a particular focus on integrating behavioral economics into engineering and management systems. Cheng’s most influential work introduces an extended prospect theory framework for robot evaluation and selection, addressing the complex interplay between risk preferences and interactive criteria under high uncertainty. This groundbreaking approach acknowledges that decision-makers are boundedly rational, moving beyond traditional models to capture real-world cognitive biases and interdependencies among evaluation factors. With 5 citations on this key paper alone, Cheng’s contributions are gaining traction among scholars and practitioners seeking robust, psychologically realistic tools for technology assessment. By bridging behavioral decision theory with operational research, Cheng has opened new pathways for designing more intelligent and human-aligned selection processes in automation and robotics. Their work stands out for its methodological rigor and practical relevance, offering a nuanced lens for tackling complex, high-stakes decisions where risk and multiple conflicting objectives converge.
Research Focus
Key Achievements
Top Papers
- 1