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With the increasing complexity of manufacturing tasks, selecting an optimal manufacturing service supply chain has become an important challenge, especially in fuzzy manufacturing environments. In this study, we first propose a new fuzzy quality of service (QoS)-aware multi-objective mathematical model for evaluating the global QoS value of a manufacturing service supply chain including four basic...
Extreme learning machine (ELM) for regression has been used in many fields because of its easy-implementation, fast training speed and good generalization performance. However, basic ELM with ℓ2-norm loss function is sensitive to outliers. Recently, ℓ1-norm loss function and Huber loss function have been used in ELM to enhance the robustness. However, the ℓ1-norm loss function and the Huber loss function...
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