Journal of Software Engineering1819-43112152-0941Asian Network for Scientific Information10.3923/jse.2015.858.867LiShi Yu-ZhenShi FanLuo 4201594Considering the endogenous and exogenous uncertainty problems of logistics
service supply chain, based on complex science management qualitative analysis
tools-Exploring Graph, risk early-warning index system of logistics service
supply chain is constructed. Then based on the theory of entropy, index weights
are calculated by using "Structure Entropy Weight Method". Next, on the basis
of them, Markov chain forecasting method is integrated into the process of fuzzy
comprehensive evaluation, dynamic risk warning evaluation model of logistics
service supply chain is constructed. Finally, the effectiveness of the model
is validated through an example, it provides a new way for early-warning evaluation
of the logistics service supply chain.]]>Bolch, G., S. Greiner, H. de Meer and K.S. Trivedi,20062nd Edn.,Pages: 896Pages: 896Cheng, Q.Y.,2010712251228Gui, S.P., G.Y. Ding, Z.Y. Zhang and Y.Q. Shi,201027138140, 144Gao, Z.J. and W. Liu,201092930Li, D. and L. Zhang,201048687Li, Z., S. Zhang and Q. Wu,201066164Liu, J., H.L. Zhang, S.B. Li and Y.L. Liu,20077151152, (In Chinese)Stevenson, M. and M. Spring,200727685713Shi, L.,201229923926Jaaskinen, V., J. Xiong, J. Corander and T. Koski,201441639655Wang, S.S., H.Q. Wang and Q.F. Tang,20107224226Xu, X.S. and X.J. Zheng,20102916Yu, B.Q., C. Sun, Y. Zhang and J. Wu,201012178180