On the Dempster-Shafer framework and new combination rules
Information Sciences: an International Journal
A fusion methodology based on Dempster-Shafer evidence theory for two biometric applications
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Analyzing the combination of conflicting belief functions
Information Fusion
Information Sciences: an International Journal
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
International Journal of Approximate Reasoning
The combination of multiple classifiers using an evidential reasoning approach
Artificial Intelligence
International Journal of Approximate Reasoning
International Journal of Intelligent Systems - Decision Sciences: Foundations and Applications
Extending stochastic ordering to belief functions on the real line
Information Sciences: an International Journal
Comparing approximate reasoning and probabilistic reasoning using the Dempster--Shafer framework
International Journal of Approximate Reasoning
Combining uncertainty and imprecision in models of medical diagnosis
Information Sciences: an International Journal
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Deriving Evidence Theoretical Functions in Multivariate Data Spaces: A Systematic Approach
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multiple-attribute decision making under uncertainty: the evidential reasoning approach revisited
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Evidence Combination in an Environment With Heterogeneous Sources
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Editorial: Modelling uncertainty
Information Sciences: an International Journal
Switching-based filter based on Dempster's combination rule for image processing
Information Sciences: an International Journal
Maximal confidence intervals of the interval-valued belief structure and applications
Information Sciences: an International Journal
On the fusion of imprecise uncertainty measures using belief structures
Information Sciences: an International Journal
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In this paper, we consider the problem of how to derive mass functions systematically from data samples. We also consider the ensuing problem of how to combine different mass functions derived in this way. We show that a mass function can be efficiently and systematically derived from multivariate data. We also demonstrate that combining mass functions obtained in this manner can be done easily. The way of deriving and combining mass functions is illustrated with a simple example.