复熵及其在Bayes决策中的应用

Complex Entropy and Its Application in Bayes Decision Analysis

本文将熵的概念扩展到复数域,并在定义传递熵的基础上,把信息论的原理应用到Bayes决策分析中,使决策与信息有机结合,提高了决策的精度。

In this paper, concept of entropy is expanded from real number field to complex number field, than we use principal of information theory into Bayes decision analysis based on defining transference entropy, and raised the accuracy of decision by combining orgainically decision with information.