Negation of Belief Function Based on the Total Uncertainty Measure

The negation of probability provides a new way of looking at information representation. However, the negation of basic probability assignment (BPA) is still an open issue. To address this issue, a novel negation method of basic probability assignment based on total uncertainty measure is proposed i...

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Main Authors: Kangyang Xie, Fuyuan Xiao
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/21/1/73
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author Kangyang Xie
Fuyuan Xiao
author_facet Kangyang Xie
Fuyuan Xiao
author_sort Kangyang Xie
collection DOAJ
description The negation of probability provides a new way of looking at information representation. However, the negation of basic probability assignment (BPA) is still an open issue. To address this issue, a novel negation method of basic probability assignment based on total uncertainty measure is proposed in this paper. The uncertainty of non-singleton elements in the power set is taken into account. Compared with the negation method of a probability distribution, the proposed negation method of BPA differs becausethe BPA of a certain element is reassigned to the other elements in the power set where the weight of reassignment is proportional to the cardinality of intersection of the element and each remaining element in the power set. Notably, the proposed negation method of BPA reduces to the negation of probability distribution as BPA reduces to classical probability. Furthermore, it is proved mathematically that our proposed negation method of BPA is indeed based on the maximum uncertainty.
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spelling doaj.art-83f0b20994ce4088bb6aea183fed10212022-12-22T02:56:52ZengMDPI AGEntropy1099-43002019-01-012117310.3390/e21010073e21010073Negation of Belief Function Based on the Total Uncertainty MeasureKangyang Xie0Fuyuan Xiao1School of Computer and Information Science, Southwest University, No. 2 Tiansheng Road, BeiBei District, Chongqing 400715, ChinaSchool of Computer and Information Science, Southwest University, No. 2 Tiansheng Road, BeiBei District, Chongqing 400715, ChinaThe negation of probability provides a new way of looking at information representation. However, the negation of basic probability assignment (BPA) is still an open issue. To address this issue, a novel negation method of basic probability assignment based on total uncertainty measure is proposed in this paper. The uncertainty of non-singleton elements in the power set is taken into account. Compared with the negation method of a probability distribution, the proposed negation method of BPA differs becausethe BPA of a certain element is reassigned to the other elements in the power set where the weight of reassignment is proportional to the cardinality of intersection of the element and each remaining element in the power set. Notably, the proposed negation method of BPA reduces to the negation of probability distribution as BPA reduces to classical probability. Furthermore, it is proved mathematically that our proposed negation method of BPA is indeed based on the maximum uncertainty.http://www.mdpi.com/1099-4300/21/1/73Dempster-Shafer theorynegationtotal uncertainty measureBasic Probability Assignment
spellingShingle Kangyang Xie
Fuyuan Xiao
Negation of Belief Function Based on the Total Uncertainty Measure
Entropy
Dempster-Shafer theory
negation
total uncertainty measure
Basic Probability Assignment
title Negation of Belief Function Based on the Total Uncertainty Measure
title_full Negation of Belief Function Based on the Total Uncertainty Measure
title_fullStr Negation of Belief Function Based on the Total Uncertainty Measure
title_full_unstemmed Negation of Belief Function Based on the Total Uncertainty Measure
title_short Negation of Belief Function Based on the Total Uncertainty Measure
title_sort negation of belief function based on the total uncertainty measure
topic Dempster-Shafer theory
negation
total uncertainty measure
Basic Probability Assignment
url http://www.mdpi.com/1099-4300/21/1/73
work_keys_str_mv AT kangyangxie negationofbelieffunctionbasedonthetotaluncertaintymeasure
AT fuyuanxiao negationofbelieffunctionbasedonthetotaluncertaintymeasure