A new distance-based total uncertainty measure in the theory of belief functions
作者：
Highlights：
• A new total uncertainty measure in evidence theory is proposed.
• The new measure is directly defined in the evidential framework.
• The new measure is not a generalization of those in the probabilistic framework.
• The belief intervals and distance metric are used for the new measure’s design.
• The new measure has no drawbacks in traditional ones and has desired properties.
摘要
•A new total uncertainty measure in evidence theory is proposed.•The new measure is directly defined in the evidential framework.•The new measure is not a generalization of those in the probabilistic framework.•The belief intervals and distance metric are used for the new measure’s design.•The new measure has no drawbacks in traditional ones and has desired properties.
论文关键词：Belief functions,Evidence theory,Uncertainty measure,Belief interval,Distance of interval
论文评审过程：Received 27 July 2015, Revised 22 October 2015, Accepted 20 November 2015, Available online 27 November 2015, Version of Record 7 January 2016.
论文官网地址：https://doi.org/10.1016/j.knosys.2015.11.014
