This paper provides two axiomatic derivations of a case-based decision rule. Each axiomatization shows that, if preference orders over available acts in various contexts satisfy certain consistency requirements, then these orders can be numerically represented by maximization of a similarity-weighted utility function. In each axiomatization, both the similarity function and the utility function are simultaneously derived from preferences, and the axiomatic derivation also suggests a way to elicit these theoretical concepts from in-principle observable preferences. The two axiomatizations differ in the type of decisions that they assume as data. Journal of economic literature classification number: d80
To make a decision, we must find out the user\u27s preference, and help the user select an alternati...
International audienceThis paper proposes a principled approach to multicriteria decision making whe...
Decision making with adaptive utility provides a generalisation to classical Bayesian decision theor...
This paper provides two axiomatic derivations of a case-based decision rule. Each axiomatization sho...
We consider a decision-situation in which the available information is given by a data-set. The deci...
International audienceThis paper suggests that decision-making under uncertainty is, at least partly...
We consider a decision-situation in which the available information is given by a data-set. The deci...
International audienceCase-Based Decision Theory (CBDT) postulates that decision making under uncert...
This paper examines a tradeoff-consistency technique for testing and axiomatically founding decision...
A class of preferential orderings in non-monotonic logics assumes that various extensions of a model...
Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-ba...
This paper examines a tradeoff-consistency technique for testing and axiomatically founding decision...
This paper examines a tradeoff-consistency technique for testing and axiomatically founding decision...
textThis dissertation consists of three research papers on Preference models of decision making, all...
Expected utility theory is felt by its proponents to be a normative theory of decision making under ...
To make a decision, we must find out the user\u27s preference, and help the user select an alternati...
International audienceThis paper proposes a principled approach to multicriteria decision making whe...
Decision making with adaptive utility provides a generalisation to classical Bayesian decision theor...
This paper provides two axiomatic derivations of a case-based decision rule. Each axiomatization sho...
We consider a decision-situation in which the available information is given by a data-set. The deci...
International audienceThis paper suggests that decision-making under uncertainty is, at least partly...
We consider a decision-situation in which the available information is given by a data-set. The deci...
International audienceCase-Based Decision Theory (CBDT) postulates that decision making under uncert...
This paper examines a tradeoff-consistency technique for testing and axiomatically founding decision...
A class of preferential orderings in non-monotonic logics assumes that various extensions of a model...
Gilboa and Schmeidler provide a new paradigm for modeling decision making under uncertainty. Case-ba...
This paper examines a tradeoff-consistency technique for testing and axiomatically founding decision...
This paper examines a tradeoff-consistency technique for testing and axiomatically founding decision...
textThis dissertation consists of three research papers on Preference models of decision making, all...
Expected utility theory is felt by its proponents to be a normative theory of decision making under ...
To make a decision, we must find out the user\u27s preference, and help the user select an alternati...
International audienceThis paper proposes a principled approach to multicriteria decision making whe...
Decision making with adaptive utility provides a generalisation to classical Bayesian decision theor...