Title :
Virtual logistics enterprise knowledge sharing risk early-warning by fuzzy sets
Author :
Shi, Cheng-dong ; Bian, Dun-xin
Author_Institution :
Sch. of Electr. & Electron. Eng., Shandong Univ. of Technol., Zibo, China
Abstract :
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.
Keywords :
fuzzy set theory; knowledge management; logistics; manufacturing data processing; risk management; supply chains; virtual enterprises; fuzzy set method; hierarchical evaluation attribute structure model; knowledge sharing risk early-warning; logistic alliance; virtual logistics enterprise; Dispersion; Fuzzy set theory; Fuzzy sets; Knowledge engineering; Knowledge management; Knowledge transfer; Logistics; Protection; Risk analysis; Weight control; fuzzy sets; knowledge sharing; risk early-warning model; virtual logistics enterprise;
Conference_Titel :
Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-4519-6
Electronic_ISBN :
978-1-4244-4520-2
DOI :
10.1109/ICCSIT.2009.5234689
