Interactive resolution of multiobjective combinatorial optimization problems by incremental elicitation of criteria weights
We propose an introduction to the use of incremental preference elicitation methods in the
field of multiobjective combinatorial optimization. We consider three different optimization …
field of multiobjective combinatorial optimization. We consider three different optimization …
Learning sparse representations of preferences within Choquet expected utility theory
M Herin, P Perny, N Sokolovska - Uncertainty in Artificial …, 2022 - proceedings.mlr.press
This paper deals with preference elicitation within Choquet Expected Utility (CEU) theory for
decision making under uncertainty. We consider the Savage's framework with a finite set of …
decision making under uncertainty. We consider the Savage's framework with a finite set of …
[HTML][HTML] Learning decision catalogues for situated decision making: The case of scoring systems
In this paper, we formalize the problem of learning coherent collections of decision models,
which we call decision catalogues, and illustrate it for the case where models are scoring …
which we call decision catalogues, and illustrate it for the case where models are scoring …
On the equivalence of optimal recommendation sets and myopically optimal query sets
Preference elicitation is an important component in many AI applications, including decision
support and recommender systems. Such systems must assess user preferences, based on …
support and recommender systems. Such systems must assess user preferences, based on …
Adaptive elicitation of preferences under uncertainty in sequential decision making problems
This paper aims to introduce an adaptive preference elicitation method for interactive
decision support in sequential decision problems. The Decision Maker's preferences are …
decision support in sequential decision problems. The Decision Maker's preferences are …
[책][B] Introduction to statistical decision theory: Utility theory and causal analysis
S Bacci, B Chiandotto - 2019 - taylorfrancis.com
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the
theoretical background to approach decision theory from a statistical perspective. It covers …
theoretical background to approach decision theory from a statistical perspective. It covers …
[HTML][HTML] A generic framework to include belief functions in preference handling and multi-criteria decision
S Destercke - International Journal of Approximate Reasoning, 2018 - Elsevier
Modelling the preferences of a decision maker about alternatives having multiple criteria
usually starts by collecting preference information (comparisons of alternatives, importance …
usually starts by collecting preference information (comparisons of alternatives, importance …
Anytime algorithms for adaptive robust optimization with OWA and WOWA
N Bourdache, P Perny - … Theory: 5th International Conference, ADT 2017 …, 2017 - Springer
We consider optimization problems in graphs where the utilities of solutions depend on
different scenarios. In this context, we study incremental approaches for the determination of …
different scenarios. In this context, we study incremental approaches for the determination of …
Quadratic metric elicitation for fairness and beyond
Metric elicitation is a recent framework for eliciting classification performance metrics that
best reflect implicit user preferences based on the task and context. However, available …
best reflect implicit user preferences based on the task and context. However, available …
Combining local search and elicitation for multi-objective combinatorial optimization
In this paper, we propose a general approach based on local search and incremental
preference elicitation for solving multi-objective combinatorial optimization problems with …
preference elicitation for solving multi-objective combinatorial optimization problems with …