Research and Application of the Improved DST New Method Based on Fuzzy Consistent Matrix and the Weighted Average
Authors:
- 1 September 2014
- journal article
- Published by Trans Tech Publications, Ltd. in Advanced Materials Research
- Vol. 1030-1032, 1764-1768
Abstract
Aiming at the existing defects of evidence dempster-shafer theory (DST) in dealing with high conflict evidence, we proposed a new method to improve DST. By introducing concept of fuzzy consistent matrix, calculate the weights of factors, and put different sources of evidence into distinguish, and finally cast more than one vote to prevent the phenomenon, the average convergence of evidence. What’s more, the improved DST new method is applied to the rolling bearing fault diagnosis of CNC machine workbench .The test results show that the improved new synthetic formula increases the accuracy of fault diagnosis Ball, the conflict of evidence synthesis results better, to achieve better results.Keywords
This publication has 3 references indexed in Scilit:
- Notice of Retraction: The diagnosis of tool wear based on RBF neural networks and D-S evidence theory2010
- Combining belief functions when evidence conflictsDecision Support Systems, 2000
- Data fusion of multiple-sensors attribute information for target-identity estimation using a Dempster-Shafer evidential combination algorithm1996