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基于贝叶斯公式的新生产线引进随机决策分析
引用本文:武俊兰. 基于贝叶斯公式的新生产线引进随机决策分析[J]. 山西大同大学学报(自然科学版), 2013, 0(6): 12-14
作者姓名:武俊兰
作者单位:忻州师范学院,山西忻州034000
摘    要:企业的生产经营活动中随时随地都存在着随机性决策。随机性决策是否合理取决于决策信息是否被有效的利用。贝叶斯公式可以将模型信息、数据信息、先验信息等有效的结合起来,帮助企业管理者获得最优的决策方案。论文介绍了贝叶斯决策模型和相关概念,结合具体实例说明了贝叶斯随机决策的操作应用,对企业的随机决策管理具有一定的指导意义。

关 键 词:贝叶斯公式  随机决策  信息

Stochastic Decision Analysis of Introducing New Production Lines based on Bayes Formula
WU Jun-lan. Stochastic Decision Analysis of Introducing New Production Lines based on Bayes Formula[J]. Journal of Shanxi Datong University(Natural Science Edition), 2013, 0(6): 12-14
Authors:WU Jun-lan
Affiliation:WU Jun-lan (Xinzhou Normal University, Xinzhou Shanxi, 034000)
Abstract:Stochastic decisions exist in the production and management of enterprises anywhere and any time. Whether the scochastic decision is reasonable depends on whether the information of decision making is used efficiently. Bayes formula can com- bine the information about the model, data and priori in order to help managers get best decisions. This paper introduces Bayes for- mula and related concepts, explains the application of Bayes formula, which provides some instructions for stochastic decision man- agement of enterprises.
Keywords:Bayes formula  stochastic decision  information
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