A Study on Improved MRMF Algorithm on Uncertain Graph

Author(s):  
Kejie Wen ◽  
Juan Yang ◽  
Wei Liu ◽  
Yanchun Yang ◽  
Baili Zhang
Keyword(s):  
2012 ◽  
Vol 35 (11) ◽  
pp. 2371
Author(s):  
Wei CAI ◽  
Bai-Li ZHANG ◽  
Jian-Hua LV
Keyword(s):  

2016 ◽  
Vol 17 (1) ◽  
pp. 103-123 ◽  
Author(s):  
Isnaini Rosyida ◽  
Jin Peng ◽  
Lin Chen ◽  
Widodo Widodo ◽  
Ch. Rini Indrati ◽  
...  

2017 ◽  
Vol 22 (S3) ◽  
pp. 5691-5701 ◽  
Author(s):  
Xiulian Gao ◽  
Changyou Guo ◽  
Xiuling Yin ◽  
Xuedou Yu
Keyword(s):  

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
YiHua Zhong ◽  
ShiMing Luo ◽  
Min Bao ◽  
XiaoDie Lv

When designing the underground logistics system, it is necessary to consider the uncertainty of logistics nodes, high cost, and high risk. This paper employed the theories of uncertain graph and dynamic programming to solve the network planning problem of underground logistics system. Firstly, we proposed the concepts of uncertainty measure matrix and vertices structure uncertainty graph by using uncertainty measure and uncertainty graph. Secondly, vertices structure uncertainty graph of the underground logistics system was constructed based on our proposed vertices structure uncertainty graph and the uncertainty of logistics nodes. Thirdly, the dynamic programming model of the underground logistics system was established, and its solution algorithm was also designed by improving simulated annealing. Finally, the correctness and feasibility of the method was validated by using a numerical example of the underground logistics system in Xianlin district, Nanjing City in China.


Author(s):  
XIULIAN GAO ◽  
YUAN GAO

In practical applications of graph theory, non-deterministic factors are frequently encountered. This paper employs uncertainty theory to deal with non-deterministic factors in problems of graph connectivity. The concepts of uncertain graph and connectedness index of uncertain graph are proposed in this paper. It presents two algorithms to calculate connectedness index of an uncertain graph.


2015 ◽  
Vol 40 (3) ◽  
pp. 1-39 ◽  
Author(s):  
Panos Parchas ◽  
Francesco Gullo ◽  
Dimitris Papadias ◽  
Francesco Bonchi

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