A new complex belief entropy of 𝜒2 divergence with its application in cardiac interbeat interval time series analysis

Abstract

in a multiplicity of fields of representation and fusion of information. However, in complex evidence theory, conflict measurement is still an open issue. To address this problem, we propose a new complex belief 𝜒2 divergence measure (𝐶𝐵𝜒2), which has the ability to measure the discrepancy between the complex basic belief assignments (CBBAs). In addition, the proposed 𝐶𝐵𝜒2 divergence measure satisfies the properties of nonnegativity, nondegeneracy and symmetry. Particularly, when the CBBA degenerates to classical basic belief assignments (BBA), the proposed divergence can also measure the conflict well. On this basis, a novel 𝐵𝐸𝑜𝐶𝐵𝜒2𝐷 is proposed to measure the complexity of cardiac interbeat interval time series in biological system. An application in cardiac interbeat interval time series analysis demonstrates that 𝐵𝐸𝑜𝐶𝐵𝜒2𝐷 has better accuracy.

ZIYUE ZENG

Undergraduate student from Chongqing University

I am looking for new research interests and look forward to making achievements in the field of artificial intelligence.