An Improved Deng Entropy and Its Application in Pattern Recognition | Zendy

Huizi Cui | Zendy; Qing Liu | Zendy; Jianfeng Zhang | Zendy; Bingyi Kang | Zendy

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An Improved Deng Entropy and Its Application in Pattern Recognition

Author(s) -

Huizi Cui,

Qing Liu,

Jianfeng Zhang,

Bingyi Kang

Publication year - 2019

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2019.2896286

Subject(s) - entropy (arrow of time) , computer science , discernment , artificial intelligence , mathematics , epistemology , philosophy , physics , quantum mechanics

How to manage the uncertainty of the basic probability assignment accurately and efficiently is of significance and also an open issue. Plenty of functions have been established to cover the issue, especially Deng entropy recently. Deng entropy can deal with the more complex situation of the focal elements (propositions). However, Deng entropy has some limitations when the propositions are of the intersection. In this paper, a modified function is proposed by considering the scale of the frame of discernment and the influence of the intersection between statements on uncertainty. The proposed belief entropy provides a promising way to measure the uncertain information. Some numerical examples and an application in pattern recognition are used to show the efficiency and accuracy of the proposed belief entropy.

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