Artificial Intelligence
Graphical Belief Modeling
Uncertainty-Based Information: Elements of Generalized Information Theory
Uncertainty-Based Information: Elements of Generalized Information Theory
On the combination and normalization of interval-valued belief structures
Information Sciences: an International Journal
Pairwise classifier combination using belief functions
Pattern Recognition Letters
Information Sciences: an International Journal
ECM: An evidential version of the fuzzy c-means algorithm
Pattern Recognition
Attribute reduction based on evidence theory in incomplete decision systems
Information Sciences: an International Journal
The Dempster--Shafer calculus for statisticians
International Journal of Approximate Reasoning
An algebraic theory for statistical information based on the theory of hints
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Belief functions on real numbers
International Journal of Approximate Reasoning
Classic Works of the Dempster-Shafer Theory of Belief Functions
Classic Works of the Dempster-Shafer Theory of Belief Functions
Cumulative distribution functions from Dempster-Shafer belief structures
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
International Journal of Approximate Reasoning
The First Belief Dominance: A New Approach in Evidence Theory for Comparing Basic Belief Assignments
ADT '09 Proceedings of the 1st International Conference on Algorithmic Decision Theory
Mass function derivation and combination in multivariate data spaces
Information Sciences: an International Journal
Switching-based filter based on Dempster's combination rule for image processing
Information Sciences: an International Journal
An extension of stochastic dominance to fuzzy random variables
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Maximal confidence intervals of the interval-valued belief structure and applications
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Object association with belief functions, an application with vehicles
Information Sciences: an International Journal
The conjunctive combination of interval-valued belief structures from dependent sources
International Journal of Approximate Reasoning
The role of fuzzy sets in decision sciences: Old techniques and new directions
Fuzzy Sets and Systems
International Journal of Approximate Reasoning
Stochastic dominance with imprecise information
Computational Statistics & Data Analysis
Ranking probability measures by inclusion indices in the case of unknown utility function
Fuzzy Optimization and Decision Making
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In this paper, the concept of stochastic ordering is extended to belief functions on the real line defined by random closed intervals. In this context, the usual stochastic ordering is shown to break down into four distinct ordering relations, called credal orderings, which correspond to the four basic ordering structures between intervals. These orderings are characterized in terms of lower and upper expectations. We then derive the expressions of the least committed (least informative) belief function credally less (respectively, greater) than or equal to a given belief function. In each case, the solution is a consonant belief function that can be described by a possibility distribution. A simple application to reliability analysis is used as an example throughout the paper.