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End-of-life management of complex systems is increasingly important for industry because of growing environmental concerns and associated regulations. In many areas, lack of hindsight and significant statistical information restricts the efficiency of end-of-life management processes and additional expert knowledge is required. In this context and to promote the reuse of secondhand components, a methodology...
This paper aims to present a study on knowledge management. We develop decision-support mechanisms hybridizing statistical and cognitive experience feedback to perform risk assessments on critical areas of a system. We propose an approach for combining expert opinion and statistics by using belief functions and by processing the combined knowledge in a directed evidential network to provide a risk...
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