Kernel-based learning methods for preference aggregation
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Publication:1040731
DOI10.1007/s10288-008-0085-5zbMath1175.91058OpenAlexW2001292771WikidataQ60257651 ScholiaQ60257651MaRDI QIDQ1040731
Willem Waegeman, Luc Boullart, Bernard De Baets
Publication date: 25 November 2009
Published in: 4OR (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10288-008-0085-5
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Uses Software
Cites Work
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- Sorting multi-attribute alternatives: the TOMASO method
- Evaluation and decision models with multiple criteria. Stepping stones for the analyst.
- Dealing with inconsistent judgments in multiple criteria sorting models
- Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
- On the scalability of ordered multi-class ROC analysis
- Inferrring an ELECTRE TRI model from assignment examples
- Characterizable fuzzy preference structures
- General transitivity conditions for fuzzy reciprocal preference matrices.
- Estimation of the weights of interacting criteria from the set of profiles by means of information-theoretic functionals.
- Construction of a two-parameters fuzzy outranking relation from fuzzy evaluations
- An approach to multiple attribute decision making based on fuzzy preference information on alternatives
- A multicriteria classification approach based on pairwise comparisons
- Fuzzy preference structures without incomparability
- A probabilistic framework for the design of instance-based supervised ranking algorithms in an ordinal setting
- Construction of global fuzzy preference structures from two-parameter single-criterion fuzzy outranking relations
- Multiple attribute decision making based on fuzzy preference information on alternatives: ranking and weighting
- A review of methods for capacity identification in Choquet integral based multi-attribute utility theory: applications of the Kappalab R package
- Transitivity frameworks for reciprocal relations: cycle-transitivity versus \(FG\)-transitivity
- Inferring Electre's veto-related parameters from outranking examples
- 10.1162/1532443041827916
- Machine Learning: ECML 2003
- Using assignment examples to infer weights for ELECTRE TRI method: some experimental results.
- The elements of statistical learning. Data mining, inference, and prediction
