JACIII Vol.20 No.4 pp. 543-553
doi: 10.20965/jaciii.2016.p0543


Fuzzy Cognitive Research on Factors Influencing Technological Innovation – From Path Dependence Perspective

Jing Hu*, Yong Zhang*, and Yilin Wang**

*College of Economics and Management, China Jiliang University
258 Xueyuan Street, Xiasha Higher Education District, Hangzhou 310018, China

**Zhongchao Ink Co., Ltd.
No.288, Xuyan Road, Pudong New Area, Shanghai 201315, China

October 30, 2015
April 11, 2016
July 19, 2016
technological innovation, path dependence, influencing factors, fuzzy cognitive map (FCM)
This paper aims to establish a framework for evaluating technological innovation and to emphasize the important influence of path dependence on technological innovation. The fuzzy cognitive map (FCM) method is used to identify causal relationships among factors that influence technological innovation, and a FCM structural diagram for evaluating enterprise technological innovation is described. Meanwhile, a fuzzy feedback system for the evaluation of technological innovation, integrated with a nonlinear Hebbian learning algorithm, is established; dependence on expert opinions may be avoided through learning and practice using the cognitive map. Finally, using a computer software platform, a dynamic simulation of any complex index system can be realized. From this simulation, stable conditions can provide path references by which an enterprise engaging in technological innovation can improve the integrative efficiency and the overall effect of any realistic technological innovation activity.
Cite this article as:
J. Hu, Y. Zhang, and Y. Wang, “Fuzzy Cognitive Research on Factors Influencing Technological Innovation – From Path Dependence Perspective,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.4, pp. 543-553, 2016.
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