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Decision support under uncertainties based on robust Bayesian networks in reverse logistics management
2009
International journal of computer applications in technology
One of the major challenges for product lifecycle management systems is the lack of integrated decision support tools to help decision-making with available information in collaborative enterprise networks. Uncertainties are inherent in such networks due to lack of perfect knowledge or conflicting information. In this paper, a robust decision support approach based on imprecise probabilities is proposed. Robust Bayesian belief networks with interval probabilities are used to estimate imprecise
doi:10.1504/ijcat.2009.028047
fatcat:er5gwmuxvjb2xl7ur7qabhkkam