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Contingent preference disaggregation model for multiple criteria sorting problem
Kadziński, Miłosz; Ghaderi, Mohammad; Dąbrowski, Maciej - In: European journal of operational research : EJOR 281 (2020) 2, pp. 369-387
Persistent link: https://www.econbiz.de/10012153683
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A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
Liu, Jiapeng; Kadziński, Miłosz; Liao, Xiuwu; Mao, Xiaoxin - In: European journal of operational research : EJOR 286 (2020) 3, pp. 963-985
Persistent link: https://www.econbiz.de/10012291605
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Heuristics for prioritizing pair-wise elicitation questions with additive multi-attribute value models
Ciomek, Krzysztof; Kadziński, Miłosz; Tervonen, Tommi - In: Omega : the international journal of management science 71 (2017), pp. 27-45
Persistent link: https://www.econbiz.de/10011720951
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Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria
Liu, Jiapeng; Liao, Xiuwu; Kadziński, Miłosz; … - In: European journal of operational research : EJOR 276 (2019) 3, pp. 1071-1089
Persistent link: https://www.econbiz.de/10012003712
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Deep preference learning for multiple criteria decision analysis
Martyn, Krzysztof; Kadziński, Miłosz - In: European journal of operational research : EJOR 305 (2023) 2, pp. 781-805
Persistent link: https://www.econbiz.de/10013479307
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An active preference learning approach to aid the selection of validators in blockchain environments
Gehrlein, Jonas; Miebs, Grzegorz; Brunelli, Matteo; … - In: Omega : the international journal of management science 118 (2023), pp. 1-16
Persistent link: https://www.econbiz.de/10014444375