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

机译:多模式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,这阻碍了分配问题(AP)的发展。通过对主观评价和语言模型的深入研究,我们提出了一种改进的2-Tuple模型,用于分配具有多模式和多资源信息的任务。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。海关风险管理中的分配假设证明了该模型的有效性。

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