An Uncertainty Measure for Interval-valued Evidences

  • Wen Jiang School of Electronics and Information, Northwestern Polytechnical University Xi’an, Shaanxi Province, 710072, China
  • Shiyu Wang School of Electronics and Information, Northwestern Polytechnical University Xi’an, Shaanxi Province, 710072, China


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. 


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How to Cite
JIANG, Wen; WANG, Shiyu. An Uncertainty Measure for Interval-valued Evidences. INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, [S.l.], v. 12, n. 5, p. 631-644, sep. 2017. ISSN 1841-9844. Available at: <>. Date accessed: 08 july 2020. doi:


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