A Generalized Expression for Information Quality of Basic Probability Assignment

The information quality is widely used in many applications. However, the existing information quality can only deal with the probability distribution. Compared with probability distribution, the basic probability assignment (BPA) in evidence theory is more efficient to handle uncertainty. As a resu...

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Main Authors:	Dingbin Li, Xiaozhuan Gao, Yong Deng
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Information quality Dempster-Shafer theory basic probability assignment Gini entropy information fusion target recognition
Online Access:	https://ieeexplore.ieee.org/document/8918419/

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spelling	doaj-62804d03495645a28364de28ef7632992021-03-30T00:24:33ZengIEEEIEEE Access2169-35362019-01-01717473417473910.1109/ACCESS.2019.29569568918419A Generalized Expression for Information Quality of Basic Probability AssignmentDingbin Li0https://orcid.org/0000-0001-7519-4100Xiaozhuan Gao1https://orcid.org/0000-0003-2625-0756Yong Deng2https://orcid.org/0000-0001-9286-2123Institute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, ChinaInstitute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, ChinaInstitute of Fundamental and Frontier Science, University of Electronic Science and Technology of China, Chengdu, ChinaThe information quality is widely used in many applications. However, the existing information quality can only deal with the probability distribution. Compared with probability distribution, the basic probability assignment (BPA) in evidence theory is more efficient to handle uncertainty. As a result, it is necessary to generalize the existing information quality. In this paper, a new expression for information quality is proposed to measure the information quality of BPA. When the BPA degenerates into a probability distribution, the proposed generalized expression for information quality in this paper is degenerated into the information quality proposed by Yager. Numerical examples are used to demonstrate the effectiveness of the generalized expression for information quality. In addition, a weighted average combination rule based on the new expression for information quality is presented. A numerical example in target recognition is illustrated to show its validity in combining conflicting evidence.https://ieeexplore.ieee.org/document/8918419/Information qualityDempster-Shafer theorybasic probability assignmentGini entropyinformation fusiontarget recognition
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Dingbin Li Xiaozhuan Gao Yong Deng
spellingShingle	Dingbin Li Xiaozhuan Gao Yong Deng A Generalized Expression for Information Quality of Basic Probability Assignment IEEE Access Information quality Dempster-Shafer theory basic probability assignment Gini entropy information fusion target recognition
author_facet	Dingbin Li Xiaozhuan Gao Yong Deng
author_sort	Dingbin Li
title	A Generalized Expression for Information Quality of Basic Probability Assignment
title_short	A Generalized Expression for Information Quality of Basic Probability Assignment
title_full	A Generalized Expression for Information Quality of Basic Probability Assignment
title_fullStr	A Generalized Expression for Information Quality of Basic Probability Assignment
title_full_unstemmed	A Generalized Expression for Information Quality of Basic Probability Assignment
title_sort	generalized expression for information quality of basic probability assignment
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2019-01-01
description	The information quality is widely used in many applications. However, the existing information quality can only deal with the probability distribution. Compared with probability distribution, the basic probability assignment (BPA) in evidence theory is more efficient to handle uncertainty. As a result, it is necessary to generalize the existing information quality. In this paper, a new expression for information quality is proposed to measure the information quality of BPA. When the BPA degenerates into a probability distribution, the proposed generalized expression for information quality in this paper is degenerated into the information quality proposed by Yager. Numerical examples are used to demonstrate the effectiveness of the generalized expression for information quality. In addition, a weighted average combination rule based on the new expression for information quality is presented. A numerical example in target recognition is illustrated to show its validity in combining conflicting evidence.
topic	Information quality Dempster-Shafer theory basic probability assignment Gini entropy information fusion target recognition
url	https://ieeexplore.ieee.org/document/8918419/
work_keys_str_mv	AT dingbinli ageneralizedexpressionforinformationqualityofbasicprobabilityassignment AT xiaozhuangao ageneralizedexpressionforinformationqualityofbasicprobabilityassignment AT yongdeng ageneralizedexpressionforinformationqualityofbasicprobabilityassignment AT dingbinli generalizedexpressionforinformationqualityofbasicprobabilityassignment AT xiaozhuangao generalizedexpressionforinformationqualityofbasicprobabilityassignment AT yongdeng generalizedexpressionforinformationqualityofbasicprobabilityassignment
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A Generalized Expression for Information Quality of Basic Probability Assignment

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