Abstract：Diversified definition modes of equipment system of systems concept exist some uncertainties that the semantic meanings and the extension objects can not be separated and that the system boundaries are blurred. These have been key issues to the concepts confusion of equipment system of systems and the modeling methods applying big data. Concept is the basic means of human cognitions. Granular computing with concepts as elements is an important way to construct a cognitive system model. Appling big data would push the transformation from the general ontology methodologies for cognitive to human centered cognitive computing system based on the formal concept analysis framework. Firstly, the big data phenomenon and the potential application modes associated with the equipment system of systems is descripted, then the granularity semantic features on system of systems and the strategy of using formal concept analysis to constructing concept cognitive system based on the granular computing thoughts are analyzed. The requirements for uncertainty forming mechanisms oriented dynamic evolution of equipment system of systems are discussed. At last, the basic architecture powered by dynamic data for cognitive computing system model oriented dynamic evolution researching
of equipment system of systems is well argued.
王寿彪, 李新明, 裴忠民, 刘东. 基于大数据的装备体系认知计算系统分析[J]. 指挥与控制学报, 2016, 2(1): 54-59.
WANG Shou-Biao, LI Xin-Ming, PEI Zhong-Min, LIU Dong. Methodology Analysis of Cognitive Computing System for Equipment System of Systems Based on Big Data. Journal of Command and Control, 2016, 2(1): 54-59.
2016, Vol. 2 
