Modeling and Learning of Hierarchical Decision Models: The Case of the Choquet Integral
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Publication:5049388
DOI10.1007/978-3-030-96318-7_6zbMath1502.90091OpenAlexW4285137634MaRDI QIDQ5049388
Eyke Hüllermeier, Christophe Labreuche
Publication date: 11 November 2022
Published in: Intelligent Decision Support Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-030-96318-7_6
Uses Software
Cites Work
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- Assessing a set of additive utility functions for multicriteria decision- making, the UTA method
- Additive representations on rank-ordered sets. I: The algebraic approach
- \(k\)-order additive discrete fuzzy measures and their representation
- Max-min representation of piecewise linear functions
- UTA-poly and UTA-splines: additive value functions with polynomial marginals
- An axiomatization of the Choquet integral in the context of multiple criteria decision making without any commensurability assumption
- Multicriteria decision making: advances in MCDM models, algorithms, theory, and applications
- Learning monotone nonlinear models using the Choquet integral
- An axiomatic approach to the concept of interaction among players in cooperative games
- Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems
- Theory of capacities
- Risk, Ambiguity, and the Savage Axioms
- Learning Deep Architectures for AI
- Preference Learning
- Subjective Probability and Expected Utility without Additivity
- Le Comportement de l'Homme Rationnel devant le Risque: Critique des Postulats et Axiomes de l'Ecole Americaine
- A decade of application of the Choquet and Sugeno integrals in multi-criteria decision aid