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Fuzzy logic control application for the risk quantification of projects for automation

Advances in Intelligent Systems and Computing (2019) 837 320-326
DOI: 10.1007/978-3-319-97888-8_29
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Abstract

This article describes the classical approach to risk quantification. This is followed by recommendations of fuzzy sets for advanced risk quantification in the automation project. Different models for fuzzification and defuzzification are presented and the optimum model variants are found with the help of the MATLAB program system.

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Davidova, O., & Lacko, B. (2019). Fuzzy logic control application for the risk quantification of projects for automation. In Advances in Intelligent Systems and Computing (Vol. 837, pp. 320–326). Springer Verlag. https://doi.org/10.1007/978-3-319-97888-8_29

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