A modified belief entropy in Dempster-Shafer framework

作者：Zhou, Deyun; Tang, Yongchuan^*; Jiang, Wen^*

来源：PLos One, 2017, 12(5): e0176832.

DOI：10.1371/journal.pone.0176832

• EVIDENTIAL REASONING APPROACH
• RELIABILITY-ANALYSIS
• CLASSIFICATION RULE
• ATTRIBUTE WEIGHTS
• HIERARCHY PROCESS
• PROBABILITY
• UNCERTAINTY
• SPECIFICITY
• DEPENDENCE
• ALGORITHM

How to quantify the uncertain information in the framework of Dempster-Shafer evidence theory is still an open issue. Quite a few uncertainty measures have been proposed in Dempster-Shafer framework, however, the existing studies mainly focus on the mass function itself, the available information represented by the scale of the frame of discernment (FOD) in the body of evidence is ignored. Without taking full advantage of the information in the body of evidence, the existing methods are somehow not that efficient. In this paper, a modified belief entropy is proposed by considering the scale of FOD and the relative scale of a focal element with respect to FOD. Inspired by Deng entropy, the new belief entropy is consistent with Shannon entropy in the sense of probability consistency. What's more, with less information loss, the new measure can overcome the shortage of some other uncertainty measures. A few numerical examples and a case study are presented to show the efficiency and superiority of the proposed method.

• 出版日期2017-5-8
• 单位西北工业大学