An Uncertain Context Ontology Modeling and Reasoning Approach Based on D-S Theory

Ye J, McKeever S, and Coyle L, et al.. Resolving uncertaintyin context integration and abstraction: context integrationand abstraction [C]. Proceedings of the InternationalConference on Pervasive Services, New York, 2008: 131-140.[2]乔秀全, 李晓峰, 廖建新. 基于贝叶斯网络的业务上下文认知模型构建方法[J].电子与信息学报.2008, 30(2):464-467浏览[3]Ko Kwang-Eun and Sim Kwee-Bo. Development of contextaware system based on Bayesian network driven contextreasoning method and ontology context modeling[C].International Conference on Control, Automation andSystems, Seoul, Oct. 2008: 2309-2313.[4]Wu Huadong, Siegel M, and Stiefelhagen R, et al.. Sensorfusion using Dempster-Shafter theory[C]. IEEEInstrumentation and Measurement Technology ConferenceAnchorage, AK, USA, May 2002: 21-23.[5]Thomas O and Russomanno D J. Applying the semantic Webexpert system shell to sensor fusion using Dempster-Shafertheory [C]. Proceedings of the Thirty-Seventh SoutheasternSymposium, Tuskegee, March 20, 2005: 11-14.[6]张德干, 徐光祐, 史元春, et al.. 面向普适计算的扩展的证据理论方法[J]. 计算机学报, 2004, 23(7): 918-927.Zhang De-gan, Xu Guang-you, and Shi Yuan-chun, et al..Extended method of evidence theory for pervasive computing[J]. Chinese Journal of Computers, 2004, 23(7): 918-927.[7]Lu Wengxing, Liang Changyong, and Ding Yong. A methoddetermining the object weights of experts based on evidencesimilarity in group decision-making[C]. WirelessCommunications, Networking and Mobile Computing, Dalian,Oct. 2008: 1-4.[8]Liu Pei-zhi and Zhang Jian. A context-aware applicationinfrastructure with reasoning mechanism based onDempster-Shafer evidence theory[C]. Vehicular TechnologyConference, Singapore, May 2008: 2834-2838.[9]罗志增, 叶明. 用证据理论实现相关信息的融合[J].电子与信息学报.2001, 23(10):970-974浏览[10]Miao Y Z, Zhang H X, and Zhang J W, et al.. Improvement ofthe combination rules of the D-S evidence theory based ondealing with the evidence conflict[C]. 2008 IEEEInternational Conference on Information and Automation,Shanghai, June 2008: 331-336.[11]Sun Rui, Huang Hong-zhong, and Miao Qiang. Improvedinformation fusion approach based on D-S evidence theory [J].Journal of Mechanical Science and Technology.2008, 22(12):2417-2425[12]Jousselme A, Grenier D, and Bosse E. A new distancebetween two bodies of evidence [J].Information Fusion.2001,2(2):91-101