Citation map · Study

SZodixStudyAcademic Library

Shelves Open access

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Paradox Elimination in Dempster–Shafer Combination Rule with Novel Entropy Function: Application in Decision-Level Multi-Sensor Fusion

15 references·1 citing·38 second hop

FromToDepth

this work references cited by second hop

References

1987On the dempster-shafer framework and new combination rules1,585 cited
2001A new distance between two bodies of evidence933 cited
2008Classic Works of the Dempster-Shafer Theory of Belief Functions623 cited
2004Combining belief functions based on distance of evidence579 cited
2000Data fusion in the transferable belief model317 cited
1998Dempster-Shafer theory for sensor fusion in autonomous mobile robots236 cited
1991Interdependence between safety-control policy and multiple-sensor schemes via Dempster-Shafer theory189 cited
2016An evidential sensor fusion method in fault diagnosis148 cited
2017An Improved Method for Combining Conflicting Evidences Based on the Similarity Measure and Belief Function Entropy101 cited
2018A New Belief Entropy to Measure Uncertainty of Basic Probability Assignments Based on Belief Function and Plausibility Function100 cited
1994Representation, independence, and combination of evidence in the Dempster-Shafer theory91 cited
2016A new combination method for multisensor conflict information90 cited
2011Combination rule of D–S evidence theory based on the strategy of cross merging between evidences64 cited
2016Weighted Evidence Combination Based on Distance of Evidence and Entropy Function63 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

2012Weighted evidence combination based on distance of evidence and uncertainty measure52 cited

Cited by

2023Multisensor Data Fusion in IoT Environments in Dempster–Shafer Theory Setting: An Improved Evidence Distance-Based Approach40 cited