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
[21]   A Novel Combination Methodology for Dempster-Shafer Theory [J].
Turhan, Hasan Ihsan ;
Demirekler, Mubeccel .
2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2017,
[22]   Fuzzy Dempster-Shafer Modelling and Decision Rules [J].
Sosnowski, Zenon A. ;
Walijewski, Jaroslaw S. .
COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT, CISIM 2016, 2016, 9842 :516-529
[23]   The application of Dempster-Shafer theory for landmine detection [J].
Mudigonda, NR ;
Kacelenga, R ;
Erickson, D .
MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2003, 2003, 5099 :103-112
[24]   An Improved Algorithm for Dempster-Shafer Theory of Evidence [J].
Yan Chenghua ;
Chen Qixiang .
ECBI: 2009 INTERNATIONAL CONFERENCE ON ELECTRONIC COMMERCE AND BUSINESS INTELLIGENCE, PROCEEDINGS, 2009, :475-+
[25]   Dempster-Shafer theory with indiscernible states and observations [J].
Kramosil, I .
INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, 1996, 25 (02) :147-152
[26]   Dempster-Shafer theoretic resolution of referential ambiguity [J].
Williams, Tom ;
Yazdani, Fereshta ;
Suresh, Prasanth ;
Scheutz, Matthias ;
Beetz, Michael .
AUTONOMOUS ROBOTS, 2019, 43 (02) :389-414
[27]   Dempster-Shafer theoretic resolution of referential ambiguity [J].
Tom Williams ;
Fereshta Yazdani ;
Prasanth Suresh ;
Matthias Scheutz ;
Michael Beetz .
Autonomous Robots, 2019, 43 :389-414
[28]   Sensor fusion using Dempster-Shafer theory [J].
Wu, HD ;
Siegel, M ;
Stiefelhagen, R ;
Yang, J .
IMTC 2002: PROCEEDINGS OF THE 19TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1 & 2, 2002, :7-12
[29]   Data classification using the Dempster-Shafer method [J].
Chen, Qi ;
Whitbrook, Amanda ;
Aickelin, Uwe ;
Roadknight, Chris .
JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2014, 26 (04) :493-517
[30]   Dempster-Shafer theory in emergency management: a review [J].
Li, Tao ;
Sun, Jiayi ;
Fei, Liguo .
NATURAL HAZARDS, 2025, 121 (06) :6413-6440