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首页> 外文期刊>IEEE systems journal >Behavior Analysis With an Evolutionary Game Theory Approach for Procurement Bid Evaluation Involving Technical and Business Experts
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Behavior Analysis With an Evolutionary Game Theory Approach for Procurement Bid Evaluation Involving Technical and Business Experts

机译：基于进化博弈论的行为分析，涉及技术和业务专家的采购投标评估

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摘要

Reverse auctions with multiple attributes have been extensively applied for centralized purchasing of large enterprises and governments. This paper focuses on the bid evaluation behaviors of referee experts and employs an evolutionary game approach to improve the fairness and reliability of bid evaluation. First, the bid evaluation process and existing problems in the mechanism are described. Second, a static game model is constructed to analyze the conditions that are necessary for achieving a long-term cooperative equilibrium between business and technical groups. Third, some evolutionary paths and factors influencing bid evaluation behaviors are analyzed, and then a simulation system is developed based on the evolution process and run several times on a MATLAB GUI platform. The simulation results explicitly make a wider gamut of decision-making parameters as well as start-up variants on initial conditions that determine further evolution. The methods and results presented in this paper can provide decision support for administrative departments in the bid evaluations of centralized purchasing. Those bodies can then choose from the best existing management policies to guide the referee experts' behaviors into the desired channels and toward optimal outcomes. A more judicious bidding evaluations process may result.
机译：具有多个属性的反向拍卖已广泛应用于大型企业和政府的集中采购。本文着重于裁判专家的评标行为，并运用进化博弈的方法来提高评标的公平性和可靠性。首先，描述投标评估过程和该机制中存在的问题。其次，构建静态博弈模型来分析实现业务组和技术组之间的长期合作平衡所必需的条件。第三，分析了影响投标评估行为的一些演化路径和因素，然后基于演化过程开发了一个仿真系统，并在MATLAB GUI平台上运行了多次。仿真结果明确地提供了范围更广的决策参数，以及确定进一步发展的初始条件下的启动变量。本文提出的方法和结果可以为行政部门集中采购的投标评估提供决策支持。然后，这些机构可以从最佳的现有管理政策中进行选择，以指导裁判专家的行为进入所需的渠道并实现最佳结果。可能会导致更明智的投标评估过程。

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