Journal of Systems Engineering and Electronics ›› 2012, Vol. 23 ›› Issue (1): 78-87.doi: 10.1109/JSEE.2012.00011

• SYSTEMS ENGINEERING • Previous Articles     Next Articles

Capability requirements modeling and verification based on fuzzy ontology

Qingchao Dong*, Zhixue Wang, Weixing Zhu, and Hongyue He   

  1. Institute of Command Automation, PLA University of Science and Technology, Nanjing 210007, P. R. China
  • Online:2012-02-25 Published:2010-01-03

Abstract:

The capability requirements of the command, control, communication, computing, intelligence, surveillance, reconnaissance (C4ISR) systems are full of uncertain and vague information, which makes it difficult to model the C4ISR architecture. The paper presents an approach to modeling the capability requirements with the fuzzy unified modeling language (UML) and building domain ontologies with fuzzy description logic (DL). The UML modeling constructs are extended according to the meta model of Department of Defense Architecture Framework to improve their domain applicability, the fuzzy modeling mechanism is introduced to model the fuzzy efficiency features of capabilities, and the capability requirement models are converted into ontologies formalized in fuzzy DL so that the model consistency and reasonability can be checked with a DL reasoning system. Finally, a case study of C4ISR capability requirements model checking is provided to demonstrate the availability and applicability of the method.