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Published online by Cambridge University Press: 14 July 2016
Let P= {p 1,···, PN } be a finite discrete probability distribution. Then the entropy of the distribution P, introduced by Shannon [12], is defined as
Throughout this paper ∑ will stand for
and logarithms will be taken to the base D (D > 1).