基于大数据的装备体系认知计算系统分析
Methodology Analysis of Cognitive Computing System for Equipment System of Systems Based on Big Data
-
摘要: 装备体系概念的多样化定义模式内涵交织、外延重叠, 体系中系统概念动态模糊等不确定性迫切需要融合装备体系概念, 成为应用大数据有效建模体系的关键难题. 概念是人类的核心认知方法, 以形式概念为基本元素的概念粒计算是一种构造认知系统的重要技术手段, 形式概念分析理论为有效利用体系大数据, 推动一般性本体论认知框架向数据为形式背景以人为中心的认知计算系统转变提供了新途径. 分析描述了军事领域大数据现象及其潜在应用模式, 应用粒计算思想, 分析装备体系的语义粒度特征和形式概念系统模型, 提出装备体系动态演化信息流不确定性形成机理和数据驱动认知计算系统模型研究架构.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.
下载: