Fuzzy evidential reasoning approach to target identity and state fusion in multisensor environments

1997 ◽  
Vol 36 (3) ◽  
pp. 669 ◽  
Author(s):  
Belur V. Dasarathy
2011 ◽  
Vol 38 (4) ◽  
pp. 4403-4415 ◽  
Author(s):  
Hu-Chen Liu ◽  
Long Liu ◽  
Qi-Hao Bian ◽  
Qin-Lian Lin ◽  
Na Dong ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Bengang Gong ◽  
Xiaoqi Zhang ◽  
Dandan Guo ◽  
Yunmiao Gui

In order to evaluate scientifically low carbon manufacturing system (LCMS) competitiveness under incomplete information, this paper, using fuzzy mathematics theory and evidential reasoning approach, proposes an evaluation method. Firstly, through fuzzy evaluation the influence factors of LCMS competitiveness are characterized by a set of evaluation grades. Secondly, the analytical evidential theory algorithms are used to aggregate the evaluation grades of multiple influence factors, and the assessed values of LCMS competitiveness are obtained under each evaluation index and the system overall goal. According to the evaluation value, the key influence factors of LCMS competitiveness, which need to be improved and enhanced, are found. Lastly, a numerical example is provided.


Risk Analysis ◽  
2021 ◽  
Author(s):  
Xianliang Shi ◽  
Jiangning Li ◽  
Anqiang Huang ◽  
Shaohua Song ◽  
Zaili Yang

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