文章詳目資料

International Journal of Fuzzy Systems EISCIEScopus

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篇名 Maximum Entropy Principle for Uncertain Variables
卷期 13:3
作者 Xiaowei ChenWei Dai
頁次 232-236
關鍵字 Uncertain variableentropymaximum entropy principleEISCISCIEScopus
出刊日期 201109

中文摘要

英文摘要

  The concept of uncertain entropy is used to provide a quantitative measurement of the uncertainty associated with uncertain variables. After introducing the definition, this paper gives some examples of entropy of uncertain variables. Furthermore this paper proposes the maximum entropy principle for uncertain variables, that is, out of all the uncertainty distributions satisfying given constraints, to choose the one has maximum entropy.

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