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A Fuzzy Negotiation Model Based on Bayesian Learning

机译:基于贝叶斯学习的模糊谈判模型

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摘要

We usually decide to accept or reject the offer based on the utility function in the traditional automatic negotiation of E-commerce so that we reject the offers whose utility is lower than a specified value. Here we evaluate the acceptability based on the fuzzy set theory and the membership function. Since different issues have different effect on the negotiators, we state the combined concession in the multi-issue negotiation for the negotiators and negotiator Agent adopts Bayesian learning mechanism to update its beliefs about incomplete information. We put forward a more practical negotiation model than the traditional negotiation model.
机译:我们通常决定在传统的自动协商电子商务方面接受或拒绝提供的优惠,以便我们拒绝其实用程序低于指定值的优惠。在这里,我们基于模糊集理论和成员函数来评估可接受性。由于不同的问题对谈判者产生了不同的影响,我们陈述了谈判者和谈判者代理的多阶段谈判中的综合特许权,采用贝叶斯学习机制来更新其对不完整信息的信念。我们提出了比传统谈判模型更实用的谈判模型。

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