Volume 4 Number 1 (Jan. 2009)
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JCP 2009 Vol.4(1): 69-76 ISSN: 1796-203X
doi: 10.4304/jcp.4.1.69-76

Integration of Improved BPNN Algorithm and Multistage Dynamic Fuzzy Judgement and Its Application on ESMP Evaluation

Zhibin Liu, Xiangsong Meng
Economics and Management Department, North China Electric Power University, Baoding City, China
Abstract—Under the information and knowledge economy era, strengthening the enterprise strategic management can realize its sustained development in the intense market competition environment, increase its ability of adapting environment, and enhance the competitive strength and the competitive advantage. To evaluate the enterprise strategic management performance (ESMP) scientifically and accurately, this paper overcomes the shortcoming of tradition linear ESMP evaluation method, proposes a evaluation method which unifies the improved BP neural network (BPNN) algorithm and the multistage dynamic fuzzy judgment (MDFJ), takes the multistage dynamic fuzzy judgment as the sampling foundation, uses the BP neural network principle to establish evaluation model. This method not only can exert the unique advantages of BP neural network, but also overcome the difficulty of seeking the high grade training sample data. The ESMP evaluation of 14 enterprises indicates that the method to evaluate the ESMP is stable and reliable.

Index Terms—Improved BP neural network, multistage dynamic fuzzy judgement, enterprise strategic management performance, comprehensive evaluating, indices system.

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Cite: Zhibin Liu, Xiangsong Meng, "Integration of Improved BPNN Algorithm and Multistage Dynamic Fuzzy Judgement and Its Application on ESMP Evaluation," Journal of Computers vol. 4, no. 1, pp. 69-76, 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
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