A Novel Measure of Uncertainty in the Dempster-Shafer Theory
In the Dempster-Shafer theory, how to quantitatively evaluate the quality of information is an essential issue and also an open issue. Many of measures of uncertainty have been proposed in previous work, whereas some measures among them had been proved to have a few shortcomings. The validity and ra...
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doaj-25a80acbefce4b4a894950ebf9f79ea02021-03-30T02:12:30ZengIEEEIEEE Access2169-35362020-01-018515505155910.1109/ACCESS.2020.29796059028244A Novel Measure of Uncertainty in the Dempster-Shafer TheoryKe Wen0https://orcid.org/0000-0003-4318-5861Yafei Song1https://orcid.org/0000-0003-0962-0671Chunhua Wu2Tianpeng Li3Department of Mechanical Engineering, Tsinghua University, Beijing, ChinaAir and Missile Defense College, Air Force Engineering University, Xi’an, ChinaPLA Air Force Xi’an Flight Academy, Xi’an, ChinaInstitute of Information System Engineering, PLA Strategic Support Army Information Engineering University, Zhengzhou, ChinaIn the Dempster-Shafer theory, how to quantitatively evaluate the quality of information is an essential issue and also an open issue. Many of measures of uncertainty have been proposed in previous work, whereas some measures among them had been proved to have a few shortcomings. The validity and rationality of the measures proposed in recent years have been explored and analyzed preliminarily, and then an empirical measure of uncertainty with exponential function form which is directly based on the framework of the evidence theory is proposed to overcome the shortcomings. Several numerical examples have been presented to illustrate the validity and rationality of the empirical measure.https://ieeexplore.ieee.org/document/9028244/The Dempster-Shafer theorymeasure of uncertaintyexponential functionvalidity and rationality |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ke Wen Yafei Song Chunhua Wu Tianpeng Li |
spellingShingle |
Ke Wen Yafei Song Chunhua Wu Tianpeng Li A Novel Measure of Uncertainty in the Dempster-Shafer Theory IEEE Access The Dempster-Shafer theory measure of uncertainty exponential function validity and rationality |
author_facet |
Ke Wen Yafei Song Chunhua Wu Tianpeng Li |
author_sort |
Ke Wen |
title |
A Novel Measure of Uncertainty in the Dempster-Shafer Theory |
title_short |
A Novel Measure of Uncertainty in the Dempster-Shafer Theory |
title_full |
A Novel Measure of Uncertainty in the Dempster-Shafer Theory |
title_fullStr |
A Novel Measure of Uncertainty in the Dempster-Shafer Theory |
title_full_unstemmed |
A Novel Measure of Uncertainty in the Dempster-Shafer Theory |
title_sort |
novel measure of uncertainty in the dempster-shafer theory |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
In the Dempster-Shafer theory, how to quantitatively evaluate the quality of information is an essential issue and also an open issue. Many of measures of uncertainty have been proposed in previous work, whereas some measures among them had been proved to have a few shortcomings. The validity and rationality of the measures proposed in recent years have been explored and analyzed preliminarily, and then an empirical measure of uncertainty with exponential function form which is directly based on the framework of the evidence theory is proposed to overcome the shortcomings. Several numerical examples have been presented to illustrate the validity and rationality of the empirical measure. |
topic |
The Dempster-Shafer theory measure of uncertainty exponential function validity and rationality |
url |
https://ieeexplore.ieee.org/document/9028244/ |
work_keys_str_mv |
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