Fifty years of multiple criteria decision analysis: From classical methods to robust ordinal regression
Abstract Multiple Criteria Decision Analysis (MCDA) is a subfield of Operational Research
that aims to support Decision-Makers (DMs) in the decision-making process through …
that aims to support Decision-Makers (DMs) in the decision-making process through …
Integrating machine learning models to learn potentially non-monotonic preferences for multi-criteria sorting from large-scale assignment examples
Learning preferences from assignment examples has attracted considerable attention in the
field of multi-criteria sorting (MCS). However, traditional MCS methods, designed to infer …
field of multi-criteria sorting (MCS). However, traditional MCS methods, designed to infer …
An incremental preference elicitation-based approach to learning potentially non-monotonic preferences in multi-criteria sorting
Leveraging assignment example preference information, to determine the shape of marginal
utility functions and category thresholds of the threshold-based multi-criteria sorting (MCS) …
utility functions and category thresholds of the threshold-based multi-criteria sorting (MCS) …
Preference disaggregation analysis with criteria selection in a regularization framework
K Zhou, Z Gong, G Wei, R Słowiński - Omega, 2025 - Elsevier
Limited by cognitive abilities, decision-makers (DMs) may struggle to evaluate decision
alternatives based on all criteria in multiple criteria decision-making problems. This paper …
alternatives based on all criteria in multiple criteria decision-making problems. This paper …
Constructive preference elicitation for multi-criteria decision analysis using an estimate-then-select strategy
In multi-criteria decision analysis (MCDA), generating decision recommendations for
alternatives using the preference disaggregation paradigm has emerged as a significant …
alternatives using the preference disaggregation paradigm has emerged as a significant …
Data-driven preference learning methods for sorting problems with multiple temporal criteria
We present novel preference learning approaches for sorting problems with multiple
temporal criteria. They leverage an additive value function as the basic preference model …
temporal criteria. They leverage an additive value function as the basic preference model …
Preference learning based on adaptive graph neural network for multi-criteria decision support
Z Meng, R Lin, B Wu - Applied Soft Computing, 2024 - Elsevier
Intelligent decision-making assists decision-makers (DMs) in making choices through data
analysis, model prediction, and automated processes. Central to this field are two key …
analysis, model prediction, and automated processes. Central to this field are two key …
Nature-inspired Preference Learning Algorithms Using the Choquet Integral
M Wójcik, M Kadziński - Proceedings of the Genetic and Evolutionary …, 2024 - dl.acm.org
We introduce various algorithms for learning the parameters of a threshold-based sorting
procedure powered by the Choquet integral. This model accounts for interactions between …
procedure powered by the Choquet integral. This model accounts for interactions between …
Consumer preference analysis integrating online reviews: a multiple criteria group approach considering individual stochastic behavior
M Cai, X Zhang - 4OR, 2024 - Springer
To find a rational basis underlying the holistic judgments provided by customers, a data-
driven preference model is constructed by indirectly inducing preferences from online …
driven preference model is constructed by indirectly inducing preferences from online …