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C4ISR context-aware environmental analysis based on fuzzy description logic

DONG Qing-chao1,2, CHEN Qing-hua1, QI Yu-dong1, YAO Gang1   

  1. 1. Department of Weapons Science and Technology, Naval Aeronautical and Astronautical University, Yantai 264001, China;
    2. Military Information Teaching and Research Center, PLA University of Science and Technology, Nanjing 210007, China
  • Online:2016-10-28 Published:2010-01-03

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Abstract:

To realize an adaptive decision support and service intelligence C4ISR system, the pervasive computing and context-aware technique with the analysis and design of the C4ISR system is integrated. The C4ISR context-aware meta ontology is proposed to construct the semantic framework of the C4ISR context. And then a domain-specific modeling language for C4ISR context-aware knowledge modeling is defined by extending the unified modeling language (UML) class and association with fuzzy constructs in order to model the fuzzy concepts of the context-aware knowledge. Additionally, a C4ISR contextaware knowledge transition algorithm is defined to support an automatic context-aware reasoning and analysis.

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