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The Reliability Assessment of ICS Based on Evidential Reasoning and Semi-quantitative Information

Received: 15 December 2018 Accepted: 25 January 2019 The purpose of this paper is to establish a new reliability assessment architecture for Industrial Control system (ICS), in this assessment architecture, precise data, ignorance and fuzziness are all modelled to describe complicated ICS. A method based on evidential reasoning (ER) rule and semi-quantitative information is proposed, this approach can solve the multiple attribute decision analysis problems which are characterized by both quantitative data and qualitative knowledge. The assessment results of a practical case study of ICS which ER employed to transform multiple attributes and verify more accurate assessment results can be obtained. The impacts of the obtained results the security states of the ICS, which enable engineer betters understand the operation of the ICS, and ultimately reduce the failure of the system, and improve the security and stability of the system.