Pages that link to "Item:Q3449528"
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The following pages link to Learning the Parameters of a Non Compensatory Sorting Model (Q3449528):
Displaying 17 items.
- An axiomatic approach to noncompensatory sorting methods in MCDM. I: The case of two categories (Q857380) (← links)
- Integrating large positive and negative performance differences into multicriteria majority-rule sorting models (Q1652244) (← links)
- An efficient SAT formulation for learning multiple criteria non-compensatory sorting rules from examples (Q1652706) (← links)
- Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria (Q1734357) (← links)
- Dominance based Monte Carlo algorithm for preference elicitation in the multi-criteria sorting problem: some performance tests (Q1990283) (← links)
- Handling imprecise and missing evaluations in multi-criteria majority-rule sorting (Q2002857) (← links)
- Enumerating and categorizing positive Boolean functions separable by a \(k\)-additive capacity (Q2012049) (← links)
- Learning non-compensatory sorting models using efficient SAT/MaxSAT formulations (Q2076880) (← links)
- Ranking with multiple reference points: efficient SAT-based learning procedures (Q2108155) (← links)
- Interactive elicitation of a majority rule sorting model with maximum margin optimization (Q2290378) (← links)
- Incremental elicitation of Choquet capacities for multicriteria choice, ranking and sorting problems (Q2407884) (← links)
- Multiple criteria sorting models and methods. I: Survey of the literature (Q2688879) (← links)
- An axiomatic approach to noncompensatory sorting methods in MCDM. II: M ore than two categories (Q5966280) (← links)
- Multiple criteria sorting models and methods. II: Theoretical results and general issues (Q6097847) (← links)
- Interactive portfolio selection involving multicriteria sorting models (Q6115945) (← links)
- Learning decision catalogues for situated decision making: the case of scoring systems (Q6577678) (← links)
- Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies. II (Q6614639) (← links)
