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A Fuzzy Modeling Application for Human Reliability Analysis in the Process Industry

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Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

Abstract

Having presented the general Human Reliability Analysis (HRA) principles and the special branch of Fuzzy/CREAM methodologies for Human error probability estimation, the chapter continues with some more details on CREAM which is the base for the fuzzy model developed. Some basic principles of fuzzy logic will then be covered before proceeding to the detailed description of the model itself. Special applications of the model i.e. the definition of critical transitions, the assessment of operators’ response times during a critical task performed in the chemical process industry along with a shorter tailored made version of the model will be presented in the remainder of this chapter.

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Notes

  1. 1.

    Some analysts do not consider ATHEANA a third generation technique but rather a well advanced second generation one.

  2. 2.

    However, the same researchers claim that the fuzzy model of CREAM brings on many redundant, self-contradictory rules, which would consume computational time, and lose the truth degree of the results.

  3. 3.

    It has to be noted at this point that two out of the nine CPCs can have only a neutral or negative effect on human reliability. The effect of each CPC on human performance will be analytically explained in Sect. 4.2 where the development of the fuzzy model is being described.

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Nivolianitou, Z., Konstantinidou, M. (2018). A Fuzzy Modeling Application for Human Reliability Analysis in the Process Industry. In: De Felice, F., Petrillo, A. (eds) Human Factors and Reliability Engineering for Safety and Security in Critical Infrastructures. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-62319-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-62319-1_5

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