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 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 Depart- ment 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.展开更多
文摘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 Depart- ment 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.
