Dempster-Shafer Inconsistency Values

被引:0
作者
Li Dongmei [1 ,2 ]
Lin Youfang [2 ]
Huang Houkuan [2 ]
Hao Shudong [1 ]
Wang Jianxin [1 ]
机构
[1] Beijing Forestry Univ, Sch Informat & Technol, Beijing 100083, Peoples R China
[2] Beijing Jiaotong Univ, Sch Comp & Informat Technol, Beijing 100044, Peoples R China
关键词
Ontology; Dempster-Shafer theory; Inconsistency measure; Inconsistency reasoning; KNOWLEDGE;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
For several ontology constructing reasons of migration, extending or merging, the size of ontologies grows and applications become more complex, it is inevitable for us to receive an inconsistent ontology. Measuring ontology inconsistency is the basis inconsistency-dealing, which can help us decide how to act on an inconsistency. Measuring ontology inconsistency with weighted formulae in numerous applications is a significant but difficult task for most efforts which only deal with the flat ontology. This paper improves inconsistency measure based on evidence theory and proposes a novel Dempster-Shafer ontology inconsistency measure method. The logical properties of these measures are studied. The properties show how to look inside the formulae and how to indicate the contribution of each formula to the overall inconsistency in the ontology set. This approach would provide us with a stronger base of inconsistency handling.
引用
收藏
页码:227 / 231
页数:5
相关论文
共 50 条
[41]   Perceptual organization approach based on Dempster-Shafer theory [J].
Vasseur, P ;
Pegard, C ;
Mouaddib, E ;
Delahoche, L .
PATTERN RECOGNITION, 1999, 32 (08) :1449-1462
[42]   Diagnostic Inference with the Dempster-Shafer Theory and a Fuzzy Input [J].
Straszecka, Ewa .
ADVANCES IN FUZZY LOGIC AND TECHNOLOGY 2017, VOL 3, 2018, 643 :361-370
[43]   Dempster-Shafer Theory in geographic information systems: A survey [J].
Malpica, J. A. ;
Alonso, M. C. ;
Sanz, M. A. .
EXPERT SYSTEMS WITH APPLICATIONS, 2007, 32 (01) :47-55
[44]   Discovering user preferences using Dempster-Shafer theory [J].
Troiano, Luigi ;
Rodriguez-Muniz, Luis J. ;
Diaz, Irene .
FUZZY SETS AND SYSTEMS, 2015, 278 :98-117
[45]   A new conflict management method in Dempster-Shafer theory [J].
Wang, Jian ;
Qiao, Kuoyuan ;
Zhang, Zhiyong ;
Xiang, Fei .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2017, 13 (03)
[46]   Multisource classification using ICM and Dempster-Shafer theory [J].
Foucher, S ;
Germain, M ;
Boucher, JM ;
Bénié, GB .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2002, 51 (02) :277-281
[47]   Structured Saliency Fusion Based on Dempster-Shafer Theory [J].
Wei, Xingxing ;
Tao, Zhiqiang ;
Zhang, Changqing ;
Cao, Xiaochun .
IEEE SIGNAL PROCESSING LETTERS, 2015, 22 (09) :1345-1349
[48]   Dempster-Shafer Evidence Combining for (Anti)-Honeypot Technologies [J].
Hayatle, Osama ;
Youssef, Amr ;
Otrok, Hadi .
INFORMATION SECURITY JOURNAL, 2012, 21 (06) :306-316
[49]   A Dempster-Shafer Big Data Readiness Assessment Model [J].
Areerakulkan, Natapat ;
Pongpech, Worapol Alex .
ICEIS: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS - VOL 2, 2021, :581-585
[50]   Estimation of Conflict and Decreasing of Ignorance in Dempster-Shafer Theory [J].
Lepskiy, Alexander .
FIRST INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, 2013, 17 :1113-1120