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Nonlinear Pricing of Information Service Based on the Congestion of Net

机译:基于网络拥塞的信息服务非线性定价

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摘要

Congestion is the key problem in the information service. This paper analyzes optimal nonlinear pricing of information service under incomplete information, and compares the results of nonlinear pricing with linear pricing in the service. The results show that nonlinear pricing can avoid the deficit in linear pricing situation and we get the optimal incentive-compatible condition to drive customer’s decision keep coherent with information service provider’s profit object. The administrate cost is also discussed in this paper.
机译:拥塞是信息服务中的关键问题。本文分析了信息不完全情况下信息服务的最优非线性定价,并将非线性定价与线性定价的结果进行了比较。结果表明,非线性定价可以避免线性定价中的赤字,并且我们获得了最优激励相容条件,以驱动客户的决策与信息服务提供商的利润对象保持一致。本文还讨论了行政成本。

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