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首页> 外文期刊>Journal of Advanced Computatioanl Intelligence and Intelligent Informatics >Fuzzy Cognitive Research on Factors Influencing Technological Innovation - From Path Dependence Perspective
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Fuzzy Cognitive Research on Factors Influencing Technological Innovation - From Path Dependence Perspective

机译:技术创新影响因素的模糊认知研究-路径依赖视角

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摘要

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.
机译:本文旨在建立一个评估技术创新的框架,并强调路径依赖对技术创新的重要影响。用模糊认知图(FCM)方法识别影响技术创新的因素之间的因果关系,并描述了用于评估企业技术创新的FCM结构图。同时建立了与非线性Hebbian学习算法集成的技术创新评价模糊反馈系统。通过使用认知地图进行学习和实践,可以避免依赖专家意见。最后,使用计算机软件平台,可以实现任何复杂索引系统的动态仿真。通过这种模拟,稳定的条件可以为从事技术创新的企业提供路径参考,从而可以提高任何现实的技术创新活动的集成效率和整体效果。

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