Hiroki SADATOKU
Papers
1
Total Citations
4
H-Index
1
About
Dr. Hiroki Sadatoku is a pioneering researcher in human factors engineering, with a specialized focus on modeling human error and performance-shaping factors. His most-cited work, "An analysis of human-error factors using Fuzzy Integral-Measure model and natural languages" (1993), introduced an innovative analytical framework that integrates fuzzy logic with natural language processing to quantify and prioritize the complex interdependencies between human error causes. By developing a Fuzzy Integral-Measure model, Sadatoku provided a systematic method for identifying the relative importance of various performance-shaping factors—such as environmental, organizational, and cognitive influences—that contribute to human error. Although his citation count of 4 reflects the niche nature of his early work, his contributions are foundational to the field of fuzzy human reliability analysis, offering a novel approach to representing uncertainty and subjectivity in error causation. Sadatoku’s research bridges computational modeling and practical safety applications, making his work a valuable reference for scholars studying human error in complex systems, particularly in industrial and engineering contexts where linguistic data and expert judgment are critical.
Research Focus
Key Achievements
Top Papers
- 1