Now showing items 1-3 of 3
Modifying Bayesian Networks by Probability Constraints
This paper deals with the following problem: modify a Bayesian network to satisfy a given set of probability constraints by only changeing its conditional probability tables while keeping the probability distribution of ...
A Bayesian Approach to Uncertainty Modeling in OWL Ontology
Dealing with uncertainty is crucial in ontology engineering tasks such as domain modeling, ontology reasoning, and concept mapping between ontologies. This paper presents our on-going research on modeling uncertainty in ...
A Bayesian network based framework for multi-criteria decision making
Multi-Criteria Decision Making (MCDM) involves the selection of the best actions from a set of alternatives, each of which is evaluated against multiple, and often conflicting, criteria. Most of the existing MCDM methods ...