Abstract
Cognitive maps provide a graphical and mathematical representation of an individual’s system of beliefs: a cognitive map shows the paths taken, including the alternatives, to reach a destination. With the current increasing need for efficiency of both plant and human operator, fuzzy cognitive maps (FCM) have proved to be able to provide a valid help in assessing the most critical factors for operators in managing and controlling production plants. A FCM represents a technique that corresponds closely to the way humans perceive it; they are easily understandable, even by a non-professional audience and each parameter has a perceivable meaning. FCMs are also an excellent means to study a production process and obtain useful indications on the consequences which can be determined by the variation of one or more variables in the system examined. They can provide an interesting solution to the issue of assessing the factors which are considered to affect the operator’s reliability. In this chapter fuzzy cognitive maps will be investigated for human reliability in production systems.
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Bertolini, M., Bevilacqua, M. (2010). Fuzzy Cognitive Maps for Human Reliability Analysis in Production Systems. In: Kahraman, C., Yavuz, M. (eds) Production Engineering and Management under Fuzziness. Studies in Fuzziness and Soft Computing, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12052-7_16
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DOI: https://doi.org/10.1007/978-3-642-12052-7_16
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