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A Hybrid Method for Improving Agent-based Negotiation Efficiency in Supply Chain

机译:一种提高供应链中基于试剂的谈判效率的混合方法

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Considering the condition of negotiation failure or man-made termination of negotiation for increasing efficiency of negotiation, this research presents a hybrid method for improving agent-based multi-attribute negotiation efficiency (HIAMNE) in supply chain (SC) coordination. This method aggregates preference information of negotiators in SC in twice. Firstly, compromise group preference order is ascertained by using preference information, which is newly provided by negotiators, and compromise preference information (CPI), which is formed in previously agent-based automatically negotiation process and calculated by using a compromise preference model. Secondly, group preferences are aggregated by using a relative entropy model, which is established based on entropy theory meanwhile considering the multiple attributes in SC negotiation. The method of HIAMNE has the merit of fulfilling the necessary requirement of group decision-making, i.e. maximizing preference consistency of group decision-making and keeping minimum gap of negotiators'' utility and group preference.
机译:考虑到谈判失败或人工终止谈判的谈判效率,本研究提出了一种改善基于代理的多属性谈判效率(HIAMNE)在供应链(SC)协调中的混合方法。该方法将谈判者的偏好信息两次聚集在SC中。首先,通过使用偏好信息来确定折衷主义组偏好顺序,该偏好信息由协商器新提供,并且妥协偏好信息(CPI),其在以前基于代理的自动协商过程中形成并通过使用折衷偏好模型计算。其次,通过使用相对熵模型来聚合组偏好,这是根据熵理论建立的,同时考虑SC协商中的多个属性。悬崖的方法具有满足小组决策必要要求的优点,即集体决策的最大化偏好一致性,并保持谈判者的效用和集团偏好的最低差距。

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