An improved information volume of mass function based on plausibility transformation method

Jiefeng Zhou, Zhen Li, Yong Deng

Abstract: Highlights•Conflicting frames of discernment cause errors in information volume of mass function.•The new method uses the first and higher-order information volumes’ geometric means.•The new method degenerates to Shannon entropy in a probability distribution.•Information volume of mass function is first applied to threat assessment.