Virtual Logistics Enterprise Knowledge Sharing Risk Early-Warning by Fuzzy Sets

被引：1
|
作者：
Shi, Cheng-dong [1 ]
Bian, Dun-xin [1 ]
机构：
[1] Shandong Univ Technol, Sch Elect & Elect Engn, Zibo 255091, Shandong, Peoples R China
来源：
2009 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY, VOL 3 | 2009年
关键词：
fuzzy sets; virtual logistics enterprise; knowledge sharing; risk early-warning model;
D O I：
10.1109/ICCSIT.2009.5234689
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：305 / 308
页数：4
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