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Study on an Assignment Problem with Multi-Mode and Multi-Resource Information Fusing

机译:多模式和多资源信息融合的分配问题研究

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Traditional assignment problem can not deal with fuzzy and uncertain evaluation data, which hinders the development of assignment problem (AP). With the deep study on subjective evaluation and linguistic model, we presented an improved 2-Tuple model for task assignment with multi-mode and multi-resource information. By using the model, we could standardize and fuse the evaluation data, and then find out the Assignment project. The assumption of assignment in customs risk management proved the effectiveness of the model.
机译:传统的分配问题无法处理模糊和不确定的评估数据,阻碍了分配问题的发展(AP)。 随着关于主观评估和语言模型的深刻研究,我们为具有多模式和多资源信息的任务分配提出了一种改进的2元组模型。 通过使用该模型,我们可以标准化和融合评估数据,然后找出分配项目。 在海关风险管理中任务的假设证明了模型的有效性。

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