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AHP Method in Computing Factor Weight of the Network Learning Pattern Recognition

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Advances in Electronic Engineering, Communication and Management Vol.1

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 139))

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Abstract

The factors cluster analysis is needed in the Network learning pattern recognition (NLPR) process. In order to analysis factors more effectively and exactly, the paper proposed the Analytic Hierarchy Process (AHP) method to ascertain the factor weights. Firstly, the paper described AHP theory and its computing procedure. Then, combined with the factors in the Network Learning System, the paper introduced the factor weights computing approach and the result. The AHP method has higher logicality and reliability which in the analysis of the factors relative importance.

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References

  1. Zhao, Q., Xue, B., Zhao, B.: Collecting System for Web Studying Factors Base on Mobile Agent. Ordnance Industry Automation (4), 35–38 (2005)

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  2. Satty, T.L.: The analytic hierarchy process: planning, priority setting. Megraw-Hill, New York (1998)

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  3. Song, B.: Research on comprehensive evaluation of equipment support quality of equipment scientific examination. The Shijiazhuang Mechanic Engineering College Academic thesis, 13–17 (March 2007)

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  4. Xue, B., Song, Z.-G., Zhao, B.: Research on Factor Extraction Method in Network Study Pattern Recognition Based on Mobile Agent. Journal of Ordnance Engineering College (2), 54–57 (2004)

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Author information

Authors and Affiliations

  1. 6th Dept. of Shijiazhuang Mechanical Engineering College, Shijiazhuang, Hebei, P.R. China

    Xiang Zhao

  2. Dept. of Information Research, Shijiazhuang Army Command Academy, Shijiazhuang, Hebei, China

    Qi Zhao

  3. HeBei Provincial Military, Shijiazhuang, Hebei, China

    Gang Chen

Authors
  1. Xiang Zhao
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  2. Qi Zhao
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  3. Gang Chen
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Corresponding author

Correspondence to Xiang Zhao .

Editor information

Editors and Affiliations

  1. Researcher Association, Wuhan Section, International Science & Education, Special No.1, Jiangxia Road of Wuhan, Wuhan, China, People's Republic

    David Jin

  2. Researcher Association, Guangzhou Section, International Science & Education, Jinheng Road 144, Guangzhou, China, People's Republic

    Sally Lin

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© 2012 Springer-Verlag Berlin Heidelberg

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Cite this paper

Zhao, X., Zhao, Q., Chen, G. (2012). AHP Method in Computing Factor Weight of the Network Learning Pattern Recognition. In: Jin, D., Lin, S. (eds) Advances in Electronic Engineering, Communication and Management Vol.1. Lecture Notes in Electrical Engineering, vol 139. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27287-5_31

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  • DOI: https://doi.org/10.1007/978-3-642-27287-5_31

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27286-8

  • Online ISBN: 978-3-642-27287-5

  • eBook Packages: EngineeringEngineering (R0)

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