A new method for risk evaluation of technology innovation of SMEs

Author

TianYi, Qu

Author_Institution

Xuzhou Instisute of Technol., Xuzhou, China

fYear

2010

fDate

29-30 Oct. 2010

Firstpage

114

Lastpage

117

Abstract

Risk evaluation of technology innovation is a complex issue, involving many factors. It is affected directly by the evaluators´ knowledge, cognitive abilities and personal preferences, and hardly completely gets rid of bias caused by human. A comprehensive, systematic risk evaluation of technology innovation indicator system is established. Reference on AHP, the principal component analytic method, fuzzy comprehensive evaluation method, BP neural network method, using information fusion technology and the complicated, subjective evaluation of technology innovation risk is transformed into a deterministic decision problem. Present a comprehensive, objective risk evaluation of technology innovation.

Keywords

backpropagation; business data processing; decision theory; fuzzy set theory; innovation management; neural nets; small-to-medium enterprises; technology management; BP neural network method; SME; analytic hierarchy process; deterministic decision problem; fuzzy comprehensive evaluation method; information fusion technology; objective risk evaluation; principal component analytic method; subjective evaluation; systematic risk evaluation; technology innovation indicator system; Technological innovation; D-S evidence theory; SMEs; risk evaluation; technology innovation;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Education (ICAIE), 2010 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-6935-2

Type

conf

DOI

10.1109/ICAIE.2010.5641135

Filename

5641135