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当在形式背景上考虑一个一致性的概率空间时,形式背景的属性集的各个子集的特征数可以通过形式概念的外延的概率获得定义。进一步,如果给予一个关于此一致性概率空间的正则随机变量,则可以借助条件期望定义属性集的各个子集的风险测度。概率化的形式背景模型在投资风险分析中有一个很好的解释,这种解释为跨国投资活动提供了新的风险环境挖掘方法和风险度量方法。
When considering a consistent probability space in a formal context, the number of features in each subset of a set of attributes in a formal context can be defined by the probability of denotation of the formal concept. Further, if a regular random variable is given for this consistent probability space, the risk measure of each subset of the attribute set can be defined by means of the conditional expectation. Probabilistic formal background model has a good explanation in the investment risk analysis. This interpretation provides a new risk environment mining method and risk measurement method for multinational investment activities.