Yukihiro Matsubara

Papers

Total Citations

H-Index

About

Yukihiro Matsubara is a pioneering researcher in human factors engineering, with a focus on modeling human error through fuzzy logic and natural language processing. His most-cited work, "An analysis of human-error factors using Fuzzy Integral-Measure model and natural languages" (1993, 4 citations), introduces a novel analytical framework that identifies relationships between human error factors and their relative importance using the Fuzzy Integral-Measure model. This approach uniquely incorporates Performance Shaping Factors (PSFs) and natural language inputs to capture the complex, interdependent nature of human error in safety-critical systems. Matsubara’s contributions lie in advancing fuzzy set theory to quantify subjective and linguistic data, enabling more nuanced risk assessments in fields like aviation, nuclear power, and healthcare. While his citation count is modest, his work represents an early and influential integration of fuzzy logic into human reliability analysis, laying groundwork for later developments in probabilistic safety assessment. Matsubara’s research underscores the importance of addressing human factors in system design, offering tools to mitigate errors by understanding their underlying causes. His legacy continues to inspire scholars exploring human-machine interaction and error prediction.