Paper Info
Title
Fuzzy Cognitive Research on Factors Influencing Technological Innovation - From Path Dependence Perspective.
Abstract
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.
Year
Venue
Keywords
2016
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
technological innovation,path dependence,influencing factors,fuzzy cognitive map (FCM)
Field
DocType
Volume
Computer science,Fuzzy logic,Knowledge management,Path dependence,Cognition,Management science
Journal
20
Issue
ISSN
Citations 
4
1343-0130
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Jing Hu100.34
Yong Zhang2294.56
yilin wang33011.92