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基于蒙特卡罗的随机投标商人数决策问题

Competitive Bidding Based on Monte-Carlo with a Stochastic Number of Bidders

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【作者】 肖会敏陈国栋孙向东

【Author】 XIAO Hui-min, CHEN Guo-dong, SUN Xiang-dong ( Henan University of Finance and Economics, Zhengzhou 450011, China)

【机构】 河南财经学院河南财经学院 河南郑州450011河南郑州450011河南郑州450011

【摘要】 随着我国社会主义市场经济的逐步完善,竞争性招投标方法被引入到各个行业,尤其是在大型建设项目中,普遍实行了招投标方法,因此招投标理论逐渐成为人们日益关注的焦点。笔者探讨了投标商人数为随机时的投标决策问题,认为在招投标为对称情形时,可得到一个形式简单的报价方程,并基于蒙特卡罗模拟法给出了一种新解法。

【Abstract】 With the reform of and opening up to the outside world, competitive tender bidding is widely used in every work of life, especially in large construction projects. Therefore, a lot of people focus their effort on the study of tender bidding theory. As the number of bidder is stochastic, the bidding decision is investigated in this article. And then a simple quoted price equation is put forward. The new method of solving the quoted price equation is obtained by means of Monte-Carlo simulation method.

【基金】 河南省高校杰出科研人才创新工程项目。
  • 【分类号】F224
  • 【被引频次】7
  • 【下载频次】153
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