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An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment

Kaiyi Zhao, Rutai Sun, Li Li, Manman Hou, Gang Yuan, Ruizhi Sun

2021Soft Computing19 citationsDOI

Topics & Concepts

Kullback–Leibler divergenceEntropy (arrow of time)Measure (data warehouse)WeightingDivergence (linguistics)Information fusionSensor fusionHellinger distanceDempster–Shafer theoryComputer scienceArtificial intelligenceAlgorithmMathematicsInformation theoryCardinality (data modeling)Distance measuresData miningStatisticsLinguisticsMedicineQuantum mechanicsPhysicsPhilosophyRadiologyTarget Tracking and Data Fusion in Sensor NetworksMulti-Criteria Decision MakingAdvanced Statistical Methods and Models
An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment | Litcius