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Further Developments on Application of Dynamic Fuzzy Cognitive Map Concept for Digital Business Models

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Abstract

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.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (No. 71672043), and partially supported by the Natural Science Foundation of Guangdong Province (No. 2020A1515010972).

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  1. School of Economics and Trade, Guangdong University of Technology, Guangzhou, 510075, China

    Weihong Xie & Baharak Makki

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  1. Weihong Xie
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Correspondence to Baharak Makki.

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Xie, W., Makki, B. Further Developments on Application of Dynamic Fuzzy Cognitive Map Concept for Digital Business Models. Int. J. Fuzzy Syst. 22, 2680–2689 (2020). https://doi.org/10.1007/s40815-020-00955-1

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