期刊
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
卷 33, 期 9, 页码 1869-1879出版社
WILEY
DOI: 10.1002/int.21999
关键词
belief function; belief interval; Dempster-Shafer evidence theory; entropy; uncertainty measure
资金
- National Natural Science Foundation of China [61703338, 61671384]
- Natural Science Basic Research Plan in Shaanxi Province of China [2016JM6018]
- Project of Science and Technology Foundation, Fundamental Research Funds for the Central Universities [3102017OQD020]
Measuring the uncertainty of pieces of evidence is an open issue in belief function theory. A rational uncertainty measure for belief functions should meet some desirable properties, where monotonicity is a very important property. Recently, measuring the total uncertainty of a belief function based on its associated belief intervals becomes a new research idea and has attracted increasing interest. Several belief interval based uncertainty measures have been proposed for belief functions. In this paper, we summarize the properties of these uncertainty measures and especially investigate whether the monotonicity is satisfied by the measures. This study provide a comprehensive comparison to these belief interval based uncertainty measures and is very useful for choosing the appropriate uncertainty measure in the practical applications.
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