Cross-entropy measure of uncertain variables

نویسندگان

  • Xiaowei Chen
  • Samarjit Kar
  • Dan A. Ralescu
چکیده

ross-entropy is a measure of the difference between two distribution functions. In order to deal with the divergence of uncertain variables via uncertainty distributions, this paper aims at introducing the concept of cross-entropy for uncertain variables based on uncertain theory, as well as investigating some mathematical properties of this concept. Several practical examples are also provided to calculate uncertain cross-entropy. Furthermore, the minimum cross-entropy principle is proposed in this paper. Finally, a study of generalized cross-entropy for uncertain variables is carried out. 2012 Elsevier Inc. All rights reserved.

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عنوان ژورنال:
  • Inf. Sci.

دوره 201  شماره 

صفحات  -

تاریخ انتشار 2012