Title :
Fuzzy Rules for Technological Performance
Author :
Chou, Hsin-Chuan ; Sun, Yuan ; Chen, Jin
Author_Institution :
Sch. of Manage., Zhejiang Univ., Hangzhou
Abstract :
Many researches reveal relationship between patent and firm performance is more complex that what is generally assumed. There is still no consensus on indicator or set of indicators to relate to consequent performance. This paper utilizes the most popular indicators and adaptive neuro-fuzzy inference system (ANFIS) to generate rules for estimating performance. The results demonstrate advantages of the application.
Keywords :
fuzzy reasoning; innovation management; technology management; ANFIS; adaptive neuro-fuzzy inference system; fuzzy rules; technological performance; Adaptive systems; Fuzzy sets; Fuzzy systems; Knowledge engineering; Linear regression; Predictive models; Research and development; Sun; Technological innovation; Technology management;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
DOI :
10.1109/WICOM.2007.1602
