An Uncertainty Measure for Interval-valued Evidences

Wen Jiang, Shiyu Wang


Interval-valued belief structure (IBS), as an extension of single-valued belief structures in Dempster-Shafer evidence theory, is gradually applied in many fields. An IBS assigns belief degrees to interval numbers rather than precise numbers, thereby it can handle more complex uncertain information. However, how to measure the uncertainty of an IBS is still an open issue. In this paper, a new method based on Deng entropy denoted as UIV is proposed to measure the uncertainty of the IBS. Moreover, it is proved that UIV meets some desirable axiomatic requirements. Numerical examples are shown in the paper to demonstrate the efficiency of UIV by comparing the proposed UIV with existing approaches.



Dempster-Shafer theory, interval-valued belief structure, interval evidence, uncertainty measure, Deng entropy

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Copyright (c) 2017 Wen Jiang, Shiyu Wang

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