Work

An Improved Deng Entropy and Its Application in Pattern Recognition

Year: 2019

Type: article

Abstract: 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.

Source: IEEE Access

DOI: 10.1109/access.2019.2896286

Authors: Huizi Cui, Qing Liu, Jianfeng Zhang, Bingyi Kang

Institution: Northwest A&F University

Language: English

Topic: Multi-Criteria Decision Making

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,750

Funders: Northwest University, China Scholarship Council