A correlation coefficient of belief functions
This work addresses a specific problem in evidence theory for researchers in uncertainty reasoning, but it appears incremental as it builds on existing correlation coefficients.
The paper tackles the open issue of managing conflict in Dempster-Shafer evidence theory by proposing a new correlation coefficient to measure similarity and conflict among belief functions, demonstrating its effectiveness through numerical examples and comparisons.
How to manage conflict is still an open issue in Dempster-Shafer evidence theory. The correlation coefficient can be used to measure the similarity of evidence in Dempster-Shafer evidence theory. However, existing correlation coefficients of belief functions have some shortcomings. In this paper, a new correlation coefficient is proposed with many desirable properties. One of its applications is to measure the conflict degree among belief functions. Some numerical examples and comparisons demonstrate the effectiveness of the correlation coefficient.