Bayesian ordinal regression for multiple criteria choice and ranking

DOI10.1016/j.ejor.2021.09.028zbMath1490.90168OpenAlexW3203685488MaRDI QIDQ2077930

Xiuwu Liao, Miłosz Kadziński, Zice Ru, Jia-Peng Liu

Publication date: 23 February 2022

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

Full work available at URL: https://doi.org/10.1016/j.ejor.2021.09.028

zbMATH Keywords

decision analysisBayesian inferenceordinal regressionadditive value functionstochastic acceptability analysis

Mathematics Subject Classification ID

Decision theory (91B06) Management decision making, including multiple objectives (90B50)

Related Items (1)

Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences

Uses Software

• bayesm
• PMTK
• VisualUTA
• Polyrun

Cites Work

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• Multiple criteria decision analysis. State of the art surveys. In 2 volumes
• Understanding predictive information criteria for Bayesian models
• The SMAA-PROMETHEE method
• On the Choquet multiple criteria preference aggregation model: theoretical and practical insights from a real-world application
• A multicriteria methodology for equity selection using financial analysis
• Implementing stochastic multicriteria acceptability analysis
• Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions
• Efficient pairwise preference elicitation allowing for indifference
• Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: an experimental analysis
• Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems
• Disaggregating time series on multiple criteria for robust forecasting: the case of long-term electricity demand in Greece
• Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria
• Multicriteria decision aid classification methods
• Resolving inconsistencies among constraints on the parameters of an MCDA model
• Robust stochastic sorting with interacting criteria hierarchically structured
• Multiple criteria decision aiding as a prediction tool for migration potential of regions
• Data-driven multiple criteria decision making for diagnosis of thyroid cancer
• Robust ordinal regression in preference learning and ranking
• Hit-and-run enables efficient weight generation for simulation-based multiple criteria decision analysis
• As simple as possible but not simpler in multiple criteria decision aiding: the robust-stochastic level dependent Choquet integral approach
• Contingent preference disaggregation model for multiple criteria sorting problem
• Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method
• Extended use of the cards procedure as a simple elicitation technique for MAVT. Application to public procurement in Switzerland
• Discrete Choice Methods with Simulation
• Active Preference Elicitation by Bayesian Updating on Optimality Polyhedra
• SMAA-2: Stochastic Multicriteria Acceptability Analysis for Group Decision Making
• Inconsistent Trade-Offs Between Attributes: New Evidence in Preference Assessment Biases
• Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria

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