Estimation of Human Error using Fuzzy Relation
L. Swaanika1, R. Sujatha2, D. Nagarajan3

1L. Swaanika, Department of Chemical Engineering, SSN College of Engineering, Chennai, (Tamil Nadu), India.
2R. Sujatha, Department of Mathematics, SSN College of Engineering, Chennai, (Tamil Nadu), India.
3D. Nagarajan, Department of Mathematics, Hindustan Institute of Technology & Science, Chennai, (Tamil Nadu), India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 3192-3194 | Volume-8 Issue-8, June 2019 | Retrieval Number: H7328068819/19©BEIESP
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Abstract: The estimation of human error is a contributory factor for many industrial and nuclear accident occurrences. Organizational factors, situational factors and individual factors are performance influencing factors causing human error. Training quality is organizational factor whereas attention and skill experience are individual factors. Training quality is considered at three levels namely, low, moderate and high. Occurrence of human error depends on training quality, attention and skill experience. These being cognitive in nature, uncertainty are prevalent. Fuzzy relational theory is suitable to capture these uncertainties. This paper deals with the application of fuzzy relation between training quality, skill experience and human error. The proposed approach gives an insight on training quality and skill experience based on which suitable corrective measure can be adopted to decrease human error.
Keyword: Fuzzy relation, Human error probability, Human reliability analysis, Membership function.
Scope of the Article: Fuzzy Logics.