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模糊亂度量測之新方法

On the New Measure of Fuzzy Entropy

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摘要


本文提出之模糊亂度量測之新方法為一改良型Shannon's亂度量測。利用處理模糊事件的模糊集合之亂度為基礎。並利用歸屬函數來計算其或然率,可在分佈函數上可得到真正的分佈資訊。因此,於圖樣分類上可得良好之辨識能力。最後,舉例說明本法之優越性。

關鍵字

模糊亂度 仙農亂度

並列摘要


The purpose of this paper is to present a new method for fuzzy entropy measure. The proposed fuzzy entropy is modified from Shannon's entropy. The definition of fuzzy entropy based on the entropy of fuzzy sets is employed to deal with the fuzzy events. The probabilities of fuzzy entropy are measured via the proportion of the membership function values of occurred elements. For classification problem, it has the ability to reflect the actual distribution of patterns. A practical example is given to illustrated the accuracy of the proposed method.

並列關鍵字

Fuzzy entropy Entropy Shannon's entropy

延伸閱讀


國際替代計量