Business systems are considered as complex systems and consist of several sub-models such as procurement market, supply process, assembly, distribution and sales market. In these systems, it is important to analyze strength and weakness of each sub-model over other parts in order to obtain information for enhancing the business system performance. To fulfill this aim, in this paper we utilize differential Hebbian learning-based dynamic fuzzy cognitive map techniques to examine the effect of expert’s knowledge as a sort of digital transformation source as well as impact of each sub-model of business system over other sub-models. Finally, the proposed method is illustrated numerically.

业务系统被认为是复杂的系统，由几个子模型组成，例如采购市场，供应过程，装配，分销和销售市场。在这些系统中，重要的是分析每个子模型相对于其他部分的优势和劣势，以获得用于增强业务系统性能的信息。为了实现这一目标，在本文中，我们利用基于Hebbian学习的差分动态模糊认知图技术，来检验专家知识作为一种数字转换源的效果以及业务系统的每个子模型对其他子模型的影响。楷模。最后，对所提出的方法进行了数值说明。