2010
DOI: 10.1016/j.eswa.2009.08.024
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System reliability prediction model based on evidential reasoning algorithm with nonlinear optimization

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Cited by 44 publications
(14 citation statements)
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“…A C C E P T E D ACCEPTED MANUSCRIPT 3 behaviour using various qualitative and quantitative approaches (Adamyan & David, 2004;Aksu & Osman, 2006;Hauptmanns, 2011;Hu, Si, & Yang, 2010;Cai, 1996;Modarres & Kaminski, 1999;Vallem & Saravannan, 2011).…”
Section: A N U S C R I P Tmentioning
confidence: 99%
“…A C C E P T E D ACCEPTED MANUSCRIPT 3 behaviour using various qualitative and quantitative approaches (Adamyan & David, 2004;Aksu & Osman, 2006;Hauptmanns, 2011;Hu, Si, & Yang, 2010;Cai, 1996;Modarres & Kaminski, 1999;Vallem & Saravannan, 2011).…”
Section: A N U S C R I P Tmentioning
confidence: 99%
“…For specific details, the reader is referred to [50]. Once the inputoutput data become available, the training data sets can be re-constructed as (X(t m ), y(t m )), m = 1, .…”
Section: Optimal Learning Algorithms For Training Er-based Predictionmentioning
confidence: 99%
“…Zhou further studied the ER approach under both fuzzy weights and utilities under group decision making situation [5], [11] . In recent years, the ER approach has been developed in many applications, for instance, environmental impact assessment [7] , product project screening [16] , R&D projects assessment [4] , safety analysis [17] , consumer preferences extraction [18]- [20] , clinical risk assessment [21] , project risk analysis [22] , system reliability prediction [23] , new product design assessment [24] , failure mode and effects analysis [25] , highway express passenger transportation company evaluation [26] , the performance of VMI alliance [5] and so on.…”
Section: Introductionmentioning
confidence: 99%