Measures of uncertainty in expert systems
Artificial Intelligence
Internet Applications in Product Design and Manufacturing
Internet Applications in Product Design and Manufacturing
Distributed and Integrated Collaborative Engineering Design
Distributed and Integrated Collaborative Engineering Design
Supply chain diagnostics with dynamic Bayesian networks
Computers and Industrial Engineering
Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications
On-line alert systems for production plants: A conflict based approach
International Journal of Approximate Reasoning
Blind dependent sources separation method using wavelet
International Journal of Computer Applications in Technology
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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 posterior probabilities in probabilistic inference. This generic approach is demonstrated with decision-makings in design for closed-loop supply chain. The ultimate goal of robust intelligent decision support systems is to enhance the effective use of information available in collaborative engineering environments.