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Innovation Pattern Recognition of Equipment Manufacturing Industry Based on Jing You Method

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 224))

Abstract

Innovation pattern recognition of equipment manufacturing has been attached great importance to scholars and practitioners. Based on the analysis of primary pattern recognition methods, choose match better conforming to rules method to recognize each type of equipment manufacturing industry innovation pattern. It is a quantitative recognition method, which relies on ideal solution evaluation method, the innovation pattern is expressed by weight structure which can show the industry performs better or not from every recognition indicator’s perspective, according to the innovation recognition indicator system constructed and the relevant data of each type, the innovation pattern characteristic of each type included in the industry is analyzed specifically and hierarchically. Countermeasures and suggestion are put forward based on the analysis result.

This work is partially supported by NSF Grand#70971016 and Liaoning province society science fund Grand#2009A367.

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References

  1. Shi, X.-j.: A Development Pattern Analysis Method Based on FA-DEA Clustering with its Application in China Software Parks Research. Mathematics in Practice and Theory 35(4), 140–148 (2005)

    Google Scholar 

  2. Zhao, X.-n., Wang, Y.-m., Jing, K.: Individual Advantage Characteristic Identifying-Based Patterns of Regional Science and Technology Development and Its Application. Chinese Journal of Management 6(4), 541–545 (2009)

    Google Scholar 

  3. Zhang, S.-j., Tang, Z.-b.: Research on four-dimensional dynamical enterprises knowledge innovation pattern based on Five Competitive Forces of Porter Model. Journal of Information 26(8), 25–27 (2007)

    Google Scholar 

  4. Tang, J.: Research on Automotive Industry Innovation Pattern Basing on Indigenous Development. Wu Han University of Technology Press (2006)

    Google Scholar 

  5. Zhang, C.-h., Yue, X., Yue, H.: Client transaction behavior pattern recognition based on clustering method. Computer Engineering and Applications 43(10), 195–198 (2007)

    Google Scholar 

  6. Zhang, C.-h., Yue, X., Yue, H.: Client transaction behavior pattern recognition based on clustering method. Computer Engineering and Applications 43(10), 195–198 (2007)

    Google Scholar 

  7. Wang, Z.-b., Sun-chen: Research on equipment manufacturing industry technology innovation ability based on PCA. Journal of Industrial Technology Economics 26(12), 63–68 (2007)

    Google Scholar 

  8. Zhao, X.-n., Liu, B.-d., Xu, H.-m.: A Study on the Impact of the Thought of Conforming to the Natural Rule on the Progress of Human Society. Chinese Journal of Science, Technology and Dialectics 23(2), 32–35 (2006)

    MathSciNet  Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Xi-lin, H., Li-li, Z., Sen, L., Xi-nan, Z. (2011). Innovation Pattern Recognition of Equipment Manufacturing Industry Based on Jing You Method. In: Zeng, D. (eds) Applied Informatics and Communication. ICAIC 2011. Communications in Computer and Information Science, vol 224. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23214-5_37

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  • DOI: https://doi.org/10.1007/978-3-642-23214-5_37

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23213-8

  • Online ISBN: 978-3-642-23214-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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