Skip to main content

Method of Risk Discernment in Technological Innovation Based on Path Graph and Variable Weight Fuzzy Synthetic Evaluation

  • Conference paper
Fuzzy Systems and Knowledge Discovery (FSKD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3613))

Included in the following conference series:

Abstract

Risk in technological innovation is one of the important factors that hold enterprises from launching technological innovation. What cause the technological innovation risks is very complicated, and traditional methods of risk discernment can only draw general estimate on the risks. But enterprises need to understand the concrete links that cause technological innovation risks. For this reason, this paper puts forward a novel method of risk discernment in technological innovation, combining technological path graph with variable weight fuzzy evaluation, in order to clearerly, more accurately find the positions, in which technological innovation risks may take place, and evaluate the risks. Finally, the paper has verified the dependability of this method experimentally.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Jia-yi, F.: Technological Innovation. Publishing House of Tsing-Hua University (2003)

    Google Scholar 

  2. Jin, C., Jian-yuan, S.: Unscrambling Research & Development. Publishing House of Mechanical Industry (2002)

    Google Scholar 

  3. Ke-yuan, X.: Risk management of technological innovation. Publishing House of Science & Technology (2002)

    Google Scholar 

  4. Li, M., Xue-zhong, C., Xue-mei, Y.: Multifactor Hierarchical Fuzzy Synthetic Evaluation on Investment Risk of High-tech Industry. Research of Quantitative Economics & Technological Economics, vol. 18(7) (2001)

    Google Scholar 

  5. Wen-qi, L.: Balanced Function and Its Application for Variable Weight Synthesizing. Symstems Engineering-Theory & Practice 17(4) (1997)

    Google Scholar 

  6. De-qing, L., Hong-mei, C., Hong-xing, L.: Multifactor decision making based hierarchical variable weights. Journal of Systems Engineering 19(3) (2004)

    Google Scholar 

  7. De-qing, L., Hong-xing, L.: The properties and construction of state variable weight vectors. Journal of Beijing Normal University 38(4) (2002)

    Google Scholar 

  8. Hong-xing, L.: Factor spaces and mathematical frame of knowledge representation. Journal of Systems Engineering 13(1) (1998)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Huang, Ys., Qi, Jx., Zhou, Jh. (2005). Method of Risk Discernment in Technological Innovation Based on Path Graph and Variable Weight Fuzzy Synthetic Evaluation. In: Wang, L., Jin, Y. (eds) Fuzzy Systems and Knowledge Discovery. FSKD 2005. Lecture Notes in Computer Science(), vol 3613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539506_79

Download citation

  • DOI: https://doi.org/10.1007/11539506_79

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28312-6

  • Online ISBN: 978-3-540-31830-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics