Computer-Aided Analysis of Patents for Product Technology Maturity Forecasting

نویسندگان

  • Yanhong Liang
  • Dequan Gan
  • Yingchun Guo
  • Peng Zhang
چکیده

Product technology maturity foresting is vital for any enterprises to hold the chance for innovation and keep competitive for a long term. The Theory of Invention Problem Solving (TRIZ) is acknowledged both as a systematic methodology for innovation and a powerful tool for technology forecasting. Based on TRIZ, the state -of-the-art on the technology maturity of product and the limits of application are discussed. With the application of text mining and patent analysis technologies, this paper proposes a computer-aided approach for product technology maturity forecasting. It can overcome the shortcomings of the current methods.

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تاریخ انتشار 2009