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• W2896199267 abstract "The complexity of the Cyber-Physical Systems (CPS) and their interactions with the physical environment makes them difficult to model completely. Once deployed, these systems are therefore subject to unexpected events that may degrade their behavior. Consequently, it becomes necessary to evaluate, at runtime, the degree of effectiveness of these systems. To address this concern, a new approach is proposed, drawing its foundations from the possibility theory and accounting for temporal constraints. The degree of effectiveness is then given as the degree of possibility. A step further, the Choquet integral operator is used for aggregating multiple evaluations, providing us with a measure of the users’ satisfaction w.r.t. their preferences. Finally the proposed approach is validated through a use-case in the smart-home domain." @default.
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• W2896199267 date "2018-07-01" @default.
• W2896199267 modified "2023-10-18" @default.
• W2896199267 title "A Possibilistic I/O Hidden Semi-Markov Model For Assessing Cyber-Physical Systems Effectiveness" @default.
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• W2896199267 doi "https://doi.org/10.1109/fuzz-ieee.2018.8491630" @default.
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