An empirical survey-type analysis of uncertainty measures for the fusion of crisp and fuzzy bodies of evidence.

Towards an efficient implementation of Dempster-Shafer: α-junction fusion rules on quantum circuits.

Transferable Belief Model on Quantum Circuits.

Two No-Reference Image Quality Assessment methods based on Possibilistic Choquet Integral and Entropy: Application to Automatic Fingerprint Identification Systems.

Modeling Belief Propensity Degree: Measures of Evenness and Diversity of Belief Functions.

An Innovative Possibilistic Fingerprint Quality Assessment (PFQA) Filter to Improve the Recognition Rate of a Level-2 AFIS.

A New Hybrid Possibilistic-Probabilistic Decision-Making Scheme for Classification.

Critique of Recent Uncertainty Measures Developed Under the Evidence Theory and Belief Intervals.

An intelligent quality-based approach to fusing multi-source possibilistic information.

Possibilistic Similarity Measures for Data Science and Machine Learning Applications.

Drawbacks of Uncertainty Measures Based on the Pignistic Transformation.

An iterative possibilistic knowledge diffusion approach for blind medical image segmentation.

Iterative Refinement of Possibility Distributions by Learning for Pixel-Based Classification.

A conceptual definition of a holonic processing framework to support the design of information fusion systems.

Addendum for "The TBM global distance measure for the association of uncertain combat ID declarations".

A Pseudo-Measurement Approach to Simultaneous Registration and Track Fusion.

A Maximum Likelihood Approach to Joint Image Registration and Fusion.

Multistate combination approaches for liquid state machine in supervised spatiotemporal pattern classification.

Dynamic estimation of evidence discounting rates based on information credibility.

A Pragmatic Approach for the use of Dempster-Shafer Theory in Fusing Realistic Sensor Data.

Robust combination rules for evidence theory.

Approximation techniques for the transformation of fuzzy sets into random sets.

Reducing Algorithm Complexity for Computing an Aggregate Uncertainty Measure.

An optimized architecture for classification combining data fusion and data-mining.

Measuring ambiguity in the evidence theory.

Dynamical model reconstruction and accurate prediction of power-pool time series.

Comparative implementation of two fusion schemes for multiple complementary FLIR imagery classifiers.

Exploitation of a priori knowledge for information fusion.

A new regression estimator with neural network realization.

Classification of audio radar signals using radial basis function neural networks.

Neural data fusion algorithms based on a linearly constrained least square method.

Robust Filtering via Semidefinite Programming with Applications to Target Tracking.

Convex optimization approach to identify fusion for multisensor target tracking.

A new distance between two bodies of evidence.

Modeling and simulation in support of the design of a data fusion system.

Decorrelation performance of DEESE and spatial smoothing techniques for direction-of-arrival problems.

A new spatial smoothing scheme for direction-of-arrivals of correlated sources.

A Distributed System for Real-Time Applications.