A new decision-making approach for multiple criteria sorting with an imbalanced set of assignment examples

DOI10.1016/j.ejor.2017.07.043zbMath1376.91060OpenAlexW2737246060MaRDI QIDQ1681283

Peng Zhang

Publication date: 23 November 2017

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://www.research.manchester.ac.uk/portal/en/publications/a-new-decisionmaking-approach-for-multiple-criteria-sorting-with-an-imbalanced-set-of-assignment-examples(bc77dfba-0f78-4239-90d1-a0e1019d6b64).html

zbMATH Keywords

multiple criteria analysismultiple criteria sortingclustering analysisimbalanced set of assignment examples

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Decision theory (91B06) Multi-objective and goal programming (90C29)

Related Items (3)

Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences ⋮ Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria ⋮ Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria

Uses Software

• MapReduce
• CRIO
• VisualUTA

Cites Work

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