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Found 7 papers, 1 papers with code
An Interval-Valued Utility Theory for Decision Making with Dempster-Shafer Belief Functions
The main goal of this paper is to describe an axiomatic utility theory for Dempster-Shafer belief function lotteries.
Valuation-Based Systems for Discrete Optimization
Solving an optimization problem can be simply described as finding the marginal of the joint objective function for the empty set.
Modifiable Combining Functions
They offer many of the advantages of these approaches and avoid some disadvantages.
Propagation of Belief Functions: A Distributed Approach
The basic structure for our scheme is a type of tree that generalizes both Pearl's and Gordon and Shortliffe's trees.
An Axiomatic Framework for Bayesian and Belief-function Propagation
The primitive objects of the framework are variables and valuations.
A New Pruning Method for Solving Decision Trees and Game Trees
For game trees, the pruning method is more efficient than the rollback method.
A Comparison of Lauritzen-Spiegelhalter, Hugin, and Shenoy-Shafer Architectures for Computing Marginals of Probability Distributions
In the last decade, several architectures have been proposed for exact computation of marginals using local computation.
