Reliability-based design of human performance conditions using fuzzy perfection / Rotshtein. (2019)
Ukrainian

English  Cybernetics and Systems Analysis   /     Issue (2019, 55 (2))

Rotshtein A.
Reliability-based design of human performance conditions using fuzzy perfection

A method is proposed for selection of performance conditions that affect human reliability without time-consuming calculation of the probability of human error. This method is based on the specially introduced concept of fuzzy perfection and theory of decision-making under fuzziness. It is shown that the proposed method can be used both independently and together with the well-known CREAM method of determining the reliability class based on cognitive assessments of human performance conditions. It is demonstrated that the results obtained by the proposed fuzzy perfection method coincide with the ones based on probabilities of erroneous actions. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Keywords: fuzzy logic inference, fuzzy perfection, human error probability, intersection of fuzzy criteria, performance conditions, Decision making, Decision theory, Errors, Probability, Reliability, Cognitive assessments, Fuzzy logic inference, fuzzy perfection, Human error probability, Human performance, Human reliability, performance conditions, Reliability based design, Fuzzy logic


Cite:
Rotshtein A. (2019). Reliability-based design of human performance conditions using fuzzy perfection. Cybernetics and Systems Analysis, 55 (2), 82-95. doi: https://doi.org/10.1007/s10559-019-00128-5 http://jnas.nbuv.gov.ua/article/UJRN-0000968698 [In Russian].


 

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