Tight upper bounds for the expected loss of lexicographic heuristics in binary multi-attribute choice.
Juan A. CarrascoManel BaucellsPublished in: Math. Soc. Sci. (2008)
Keyphrases
- multi attribute
- upper bound
- expected loss
- preference models
- lower bound
- utility function
- active learning
- worst case
- error rate
- multiple attributes
- access structure
- utility theory
- multi criteria
- multiple criteria
- multi attribute decision making
- attribute values
- similarity search
- multi dimensional
- decision rules
- auction mechanisms
- group decision making