[1]陈必红.利用知识分布进行最优决策[J].深圳大学学报理工版,2001,18(1):39-44.
 CHEN Bi-hong.The Optimal Decision by Knowledge Distribution[J].Journal of Shenzhen University Science and Engineering,2001,18(1):39-44.
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利用知识分布进行最优决策()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第18卷
期数:
2001年1期
页码:
39-44
栏目:
电子与信息科学
出版日期:
2001-03-30

文章信息/Info

Title:
The Optimal Decision by Knowledge Distribution
文章编号:
1000-2618(2001)01-0039-06
作者:
陈必红
深圳大学理学院, 深圳518060
Author(s):
CHEN Bi-hong
College of Science Shenzhen University, Shenzhen 518060, P.R.China
关键词:
观测过程统计学信息论最优决策知识分布
Keywords:
observation processstatisticsinformation theory optimal decision knowledge distribution
分类号:
TN 911.6
文献标志码:
A
摘要:
在观测过程理论中, 知识函数是观测主体在每次观测后关于观测客体的后验概率密度函数, 也是下一次观测前的先验概率密度函数.知识函数对应的分布称知识分布.观测主体不会对各种观测客体作无意义的观测, 观测目的往往是为了决策.传统的统计学方法将观测与决策割裂, 根据观测数据先进行检测、估计或者模式识别, 再根据其结果进行决策.作者指出此法往往不能根据获得信息进行最优决策.最优决策应当在知识分布的基础上进行, 而非在检测、估计和模式识别的基础上进行.
Abstract:
In observation process theory, knowledge function is the posterior probability density function about observed object after every observation, and is also the prior probability density function before next observation. Its corresponding distribution is called knowledge distribution. The observation subject would not observe different meaningless objects .The intention of observation is to make decision. The traditional statistics methods separate observation from decision. Based on observation data, they detect, estimate or recognize first, then make decision. This paper points out that an optimal decision could not be made in such a way. The optimal decision would be made on the basis of knowledge distribution .
更新日期/Last Update: 2015-11-27