Volume 4 Number 11 (Nov. 2009)
Home > Archive > 2009 > Volume 4 Number 11 (Nov. 2009) >
JCP 2009 Vol.4(11): 1139-1144 ISSN: 1796-203X
doi: 10.4304/jcp.4.11.1139-1144

Integration of Multi-layer SVM Classifier and Multistage Dynamic Fuzzy Judgement and Its Application in SCDA Measurement

Zhibin Liu121
1Economics and Management Department, North China Electric Power University, Baoding City, China
2College of Economics and Trade, Agricultural University of Hebei, Baoding City, China


Abstract—The supplier's cooperative design enables the enterprise to use supplier's technical ability fully, reduce the time of product coming into the market, improve quality, and reduce cost. In order to evaluate the supplier cooperative design ability (SCDA) scientifically and accurately, this paper overcomes the shortcoming of traditional linear SCDA evaluation method, proposes an improved support vector machine (SVM) evaluating method based on the multistage dynamic fuzzy judgment, takes the multistage dynamic fuzzy judgment as the sampling foundation, uses the SVM principle to establish evaluation model. This method not only can exert the unique advantages of multi-layer SVM classifier, but also overcome the difficulty of seeking the high grade training sample data. The SCDA evaluation of 8 enterprises in Jilin province indicates that the method to evaluate the SCDA is stable and reliable.

Index Terms—Support vector machine, multistage dynamic fuzzy judgement, supplier cooperative design ability, comprehensive evaluation.

[PDF]

Cite: Zhibin Liu, Haifen Yang, Shaomei Yang, "Integration of Multi-layer SVM Classifier and Multistage Dynamic Fuzzy Judgement and Its Application in SCDA Measurement," Journal of Computers vol. 4, no. 11, pp. 1139-1144, 2009.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Monthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, CNKI,etc
E-mail: jcp@iap.org
  • Aug 16, 2019 News!

    Vol 14, No 8 has been published with online version   [Click]

  • Jul 19, 2019 News!

    Vol 14, No 7 has been published with online version   [Click]

  • Jun 21, 2019 News!

    Vol 14, No 6 has been published with online version   [Click]

  • Apr 28, 2019 News!

    Vol 14, No 5 has been published with online version 7 papers are published in this issue after peer review   [Click]

  • Mar 20, 2019 News!

    Vol 14, No 3 has been published with online version   [Click]

  • Read more>>