Using graphical models and multi-attribute utility theory for probabilistic uncertainty handling in large systems, with application to the nuclear emergency management.
Manuele LeonelliJames Q. SmithPublished in: ICDE Workshops (2013)
Keyphrases
- utility theory
- multi attribute
- graphical models
- bayesian networks
- emergency management
- probabilistic model
- utility function
- belief propagation
- decision theory
- approximate inference
- multi criteria
- probabilistic inference
- probabilistic graphical models
- random variables
- expected utility
- decision analysis
- exact inference
- soft constraints
- belief networks
- structure learning
- decision problems
- multi dimensional
- databases
- markov networks
- attribute values
- decision model
- von neumann
- influence diagrams
- group decision making
- preference relations
- dynamic bayesian networks
- similarity search
- decision making
- artificial intelligence
- neural network