Deep preference learning for multiple criteria decision analysis
type: Item
instance of: scholarly article
title: Deep preference learning for multiple criteria decision analysis
author: Krzysztof Martyn
author: Miłosz Kadziński
published in: European Journal of Operational Research
publication date: 2022-11-17T00:00:00Z
Mathematics Subject Classification ID: 90Bxx
zbMATH DE Number: 7619285
zbMATH Keywords: multiple criteria decision aiding
zbMATH Keywords: preference learning
zbMATH Keywords: artificial neural networks
zbMATH Keywords: multiple criteria sorting
zbMATH Keywords: preference disaggregation
describes a project that uses: Adam
describes a project that uses: PREFDIS
describes a project that uses: WEKA
MaRDI profile type: Publication
full work available at URL: j.ejor.2022.06.053
OpenAlex ID: W4283731782
cites work: Isotonic separation
cites work: Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system
cites work: Robust ordinal regression in preference learning and ranking
cites work: An application of the ELECTRE TRI‐C method to characterize government performance in OECD countries
cites work: Approximation by superpositions of a sigmoidal function
cites work: Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations
cites work: Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints
cites work: Deep Learning: Methods and Applications
cites work: An evolutionary approach to construction of outranking models for multicriteria classification: the case of the ELECTRE TRI method
cites work: Developing sorting models using preference disaggregation analysis: an experimental investigation.
cites work: Preference disaggregation and statistical learning for multicriteria decision support: A review
cites work: Preference disaggregation in multiple criteria decision analysis. Essays in honor of Yannis Siskos
cites work: Preference Learning: An Introduction
cites work: Rough sets theory for multicriteria decision analysis
cites work: Multiple criteria sorting with a set of additive value functions
cites work: Q4387194
cites work: Q4521593
cites work: Multiple attribute decision making. Methods and applications. A state-of- the-art survey
cites work: An interactive sorting method for additive utility functions
cites work: Learning the Parameters of a Multiple Criteria Sorting Method
cites work: Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria
cites work: Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria
cites work: Feedforward Artificial Neural Networks for Solving Discrete Multiple Criteria Decision Making Problems
cites work: Valued outranking relations in ELECTRE providing manageable disaggregation procedures.
cites work: A new FlowSort-based method to deal with information imperfections in sorting decision-making problems
cites work: Learning monotone preferences using a majority rule sorting model
cites work: Learning monotone nonlinear models using the Choquet integral
cites work: Kernel-based learning methods for preference aggregation
cites work: Multiple Criteria Decision Making, Multiattribute Utility Theory: Recent Accomplishments and What Lies Ahead
cites work: On ordered weighted averaging aggregation operators in multicriteria decisionmaking
cites work: PREFDIS: A multicriteria decision support system for sorting decision problems
DOI: 10.1016/J.EJOR.2022.06.053
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description: scientific article; zbMATH DE number 7619285