DocumentCode
3515005
Title
Fuzzy Rules for Technological Performance
Author
Chou, Hsin-Chuan ; Sun, Yuan ; Chen, Jin
Author_Institution
Sch. of Manage., Zhejiang Univ., Hangzhou
fYear
2007
fDate
21-25 Sept. 2007
Firstpage
6529
Lastpage
6532
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4244-1311-9
Type
conf
DOI
10.1109/WICOM.2007.1602
Filename
4341377
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