Artificial Intelligence

   

On the Maximum X Entropy Negation of a Complex-Valued Distribution

Authors: Fuyuan Xiao

In this paper, we propose a generalized model of the negation function, so that it can has more powerful capability to represent the knowledge and uncertainty measure. In particular, we first define a vector representation of complex-valued distribution. Then, an entropy measure is proposed for the complex-valued distribution, called X entropy. After that, a transformation function to acquire the negation of the complex-valued distribution is exploited. Finally, we verify that the proposed negation method has a maximal entropy.x

Comments: 2 Pages.

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Submission history

[v1] 2019-10-21 10:01:20

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