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Weighted belief function of sensor data fusion in engine fault diagnosis · Study

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ArticleWeighted belief function of sensor data fusion in engine fault diagnosis

Hepeng Zhang2019

Article2019

Weighted belief function of sensor data fusion in engine fault diagnosis

Hepeng Zhang · Yong Deng

85 citations·0/0 files stored·Soft Computing

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Multi-Criteria Decision Making Machine Fault Diagnosis Techniques Technical Engine Diagnostics and Monitoring

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 85 citations exist upstream.

References

2018Multi-sensor data fusion based on the belief divergence measure of evidences and the belief entropy 2015Fuzzy Multicriteria Decision-Making: A Literature Review 2005Engine fault diagnosis based on multi-sensor information fusion using Dempster–Shafer evidence theory 2018A correlation coefficient for belief functions 2018Combining conflicting evidence using the DEMATEL method 2018Evaluating the performance of suppliers based on using the R'AMATEL-MAIRCA method for green supply chain implementation in electronics industry 2018A novel multi-criteria decision making method for assessing health-care waste treatment technologies based on D numbers 2018A Hybrid MCDM Technique for Risk Management in Construction Projects

Cited by

2020A new belief divergence measure for Dempster–Shafer theory based on belief and plausibility function and its application in multi-source data fusion 2020Complex Network Modeling of Evidence Theory 2020Probability Transform Based on the Ordered Weighted Averaging and Entropy Difference 2020An Improved Belief Entropy in Evidence Theory 2021A new distance-based total uncertainty measure in Dempster-Shafer evidence theory

Details

Year2019

Typearticle

Published2019-05-16

VenueSoft Computing

ISSN-L1432-7643

Languageen

Citations85

Files0 public / 0

ShelfMulti-Criteria Decision Making

Identifiers

doi10.1007/s00500-019-04063-7

openalex_workW2946446617

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