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Virtual logistics enterprise knowledge sharing risk early-warning by fuzzy sets

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2 Author(s)
Cheng-dong Shi ; Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China ; Dun-xin Bian

Through analyzing the evaluation criteria of virtual logistics enterprise (logistic alliance) knowledge sharing risk early-warning system, a hierarchical evaluation attribute structure model was proposed in this paper. Then, by utilizing the basic theory and method of fuzzy sets, the degree of knowledge sharing risk was assessed and its detailed calculation steps were designed. Finally, an example was used to verify the effectiveness and the practical value of the fuzzy set method, the grade of knowledge sharing risk early-warning is gained, and the evaluation result is consistent with the actual result.

Published in:

Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on

Date of Conference:

8-11 Aug. 2009