Combination of interval-valued belief structures based on belief entropy
Artificial Intelligence
2020-11-30 v1
Abstract
This paper investigates the issues of combination and normalization of interval-valued belief structures within the framework of Dempster-Shafer theory of evidence. Existing approaches are reviewed and thoroughly analyzed. The advantages and drawbacks of previous approach are presented. A new optimality approach based on uncertainty measure is developed, where the problem of combining interval-valued belief structures degenerates into combining basic probability assignments. Numerical examples are provided to illustrate the rationality of the proposed approach.
Keywords
Cite
@article{arxiv.2011.13636,
title = {Combination of interval-valued belief structures based on belief entropy},
author = {Miao Qin and Yongchuan Tang},
journal= {arXiv preprint arXiv:2011.13636},
year = {2020}
}
Comments
Simply using MDPI as a template. It does not indicate that this article will be submitted to Entropy in the future