Failure mode and effects analysis using fuzzy evidential reasoning approach and grey theory

2011 ◽  
Vol 38 (4) ◽  
pp. 4403-4415 ◽  
Author(s):  
Hu-Chen Liu ◽  
Long Liu ◽  
Qi-Hao Bian ◽  
Qin-Lian Lin ◽  
Na Dong ◽  
...  
Keyword(s):  
Failure Mode ◽  
Evidential Reasoning ◽  
Grey Theory ◽  
Evidential Reasoning Approach ◽  
Fuzzy Evidential Reasoning

Failure mode and effects analysis using a group-based evidential reasoning approach

2009 ◽  
Vol 36 (6) ◽  
pp. 1768-1779 ◽  
Author(s):  
Kwai-Sang Chin ◽  
Ying-Ming Wang ◽  
Gary Ka Kwai Poon ◽  
Jian-Bo Yang
Keyword(s):  
Failure Mode ◽  
Evidential Reasoning ◽  
Evidential Reasoning Approach

scholarly journals Fuzzy Evidential Reasoning Approach for LCMS Competitiveness Evaluation under Incomplete Information

2015 ◽  
Vol 2015 ◽  
pp. 1-6
Author(s):  
Bengang Gong ◽  
Xiaoqi Zhang ◽  
Dandan Guo ◽  
Yunmiao Gui
Keyword(s):  
Incomplete Information ◽  
Manufacturing System ◽  
Evaluation Method ◽  
Influence Factors ◽  
Evidential Reasoning ◽  
Fuzzy Evaluation ◽  
Low Carbon ◽  
Evidential Reasoning Approach ◽  
Fuzzy Evidential Reasoning ◽  
Evidential Theory

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.

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