摘要
将近代Ｓｈａｎｎｏｎ 信息熵概念广义化，利用信息量的“可加性”特征及离散熵的一般表达式，与Ｒ＆Ｄ期望资金流贴现法相结合，推导出Ｒ＆Ｄ资金流贴现率的熵近似上限及熵近似下限公式，用于Ｒ＆Ｄ决策评估，实例计算分析，得到令人满意的结果。文中提出的理论。
Information concepts of modern Shannon's information theory are extended in this paper By the use of 'addible~ characteristics of information and general expression of the entropy for discrete variables in association with R&D expect flow of funds discount theory, the formulas of entropy approximate upper limit and lower limit on R&D expect flow of funds discount rate are derived The pleased result is obtained by the calculation and analysis with the example
出处
《科研管理》
CSSCI
北大核心
1999年第6期71-76,共6页
Science Research Management
关键词
投资决策
可靠性
熵
R&D
R&D, infomation entropy, EFCF technique, entropy approximate limit
