☆ 4.7 Article

Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison

KNOWLEDGE-BASED SYSTEMS (2023)

Related references

Note: Only part of the references are listed.

Article Management

Deep preference learning for multiple criteria decision analysis

Krzysztof Martyn et al.

Summary: This study proposes preference learning algorithms for inferring the parameters of a sorting model from large sets of examples, with application in Multiple Criteria Decision Analysis. By utilizing artificial neural networks and gradient descent optimization algorithms, the study achieves high predictive accuracy.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2023)

Add to Collection

Review Economics

CUSTOMER PREFERENCE ANALYSIS FROM ONLINE REVIEWS BY A 2-ADDITIVE CHOQUET INTEGRAL-BASED PREFERENCE DISAGGREGATION MODEL

Huchang Liao et al.

Summary: Online reviews are crucial for understanding consumer preferences and developing consumer-oriented marketing strategies. Existing studies have overlooked attribute interactions and incomplete attribute ratings. To fill this gap, a preference model based on the extended 2-additive Choquet integral is proposed, which accurately represents attribute importance and interactions. The model is validated using TripAdvisor.com data and proves effective in deducing consumer preferences and evaluating consumer behavior.

TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY (2023)

Add to Collection

Article Management

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

Zice Ru et al.

Summary: This article proposes a family of probabilistic ordinal regression methods for multiple criteria sorting. It introduces Bayesian Ordinal Regression and Subjective Stochastic Ordinal Regression to derive the class assignments of alternatives based on provided preference information. The introduced approaches are evaluated through an experimental study involving real-world datasets.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2023)

Add to Collection

Article Management

Value-driven preference disaggregation analysis for uncertain preference information

Xingli Wu et al.

Summary: Multiple criteria decision aiding aims to recommend decisions consistent with the decision-maker's preferences. This study introduces probabilistic linguistic preference relations and value functions to handle uncertain preference information and conducts consistency and robustness analysis. The empirical application verifies the effectiveness of the proposed model.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2023)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Scoring from pairwise winning indices

Sally Giuseppe Arcidiacono et al.

Summary: This paper presents a new scoring method that summarizes the results of pairwise winning indices by assigning a representative additive value to each alternative. The method allows for the disaggregation of the overall evaluation of each alternative and provides an explanation for its ranking position. A probabilistic model based on a piecewise linear approximation of the cumulative normal distribution is also introduced. The reliability of the procedure is demonstrated through extensive simulations, and its applicability is illustrated through a case study in financial fund evaluation.

COMPUTERS & OPERATIONS RESEARCH (2023)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach

Jiapeng Liu et al.

Summary: We propose a preference-learning algorithm that uncovers Decision Makers' (DMs') contingent evaluation strategies in multiple criteria sorting. Our method uses holistic assignment examples derived from the analysis of performance vectors and textual descriptions. Using a mixture of threshold-based, value-driven preference models and latent topics, we construct a probabilistic model. The method automatically identifies components representing the evaluation strategies of all DMs.

INFORMS JOURNAL ON COMPUTING (2023)

Add to Collection

Article Computer Science, Artificial Intelligence

Value-Driven Multiple Criteria Sorting with Probabilistic Linguistic Information Considering Uncertain Assignment Examples

Shuxian Sun et al.

Summary: This study proposes a value-driven multiple criteria sorting procedure that considers uncertain assignment examples with probabilistic linguistic information. By introducing probability linguistic term set and weighted additive value function, decision-makers' preferences can be more comprehensively reflected.

INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING (2022)

Add to Collection

Review Management

Review and experimental comparison of ranking and choice procedures for constructing a univocal recommendation in a preference disaggregation setting

Milosz Kadzinski et al.

Summary: This article discusses the preference disaggregation setting in the context of multiple criteria ranking and choice problems. It reviews methods for constructing consistent recommendations and compares their performance in terms of reconstructing decision makers' preferences and delivering robust recommendations. The study also examines the impact of different parameterizations on the performance of these methods.

OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2022)

Add to Collection

Article Management

Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting

Milosz Kadzinski et al.

Summary: This study explores the interactive elicitation of holistic preference information for multiple criteria sorting and introduces several active learning strategies for selecting alternatives. Experimental results demonstrate that heuristic strategies based on current classification analysis can achieve competitive results compared to strategies predicting future stages.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

Add to Collection

Review Computer Science, Artificial Intelligence

Multiple-criteria decision-making sorting methods: A survey

Pavel Anselmo Alvarez et al.

Summary: Multi-Criteria Decision Making (MCDM) is a complex process that aims to support decision makers in making more effective and consistent decisions. This paper presents a systematic review of MCDM sorting methods based on 30 years of research, revealing that methodological development in this area is still growing. The study also highlights the applied methods' trends and the spectrum of application areas addressed, providing insights for further research directions.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology

Milosz Kadzinski et al.

Summary: The paper addresses a problem of multi-decision sorting subject to multiple criteria and presents a new method for dealing with such a problem, including a threshold-based value-driven sorting procedure and constructing interrelated preference models. The practical usefulness of the approach is demonstrated through a case study on risk management related to nanomaterials, highlighting the inferred preference models that can support health and safety managers in reducing associated risks.

KNOWLEDGE-BASED SYSTEMS (2021)

Add to Collection

Article Management

Robust stochastic sorting with interacting criteria hierarchically structured

Sally Giuseppe Arcidiacono et al.

Summary: The paper proposes a multiple criteria decision aiding method for sorting problems with hierarchical criteria, using the Choquet integral and Multiple Criteria Hierarchy Process. Robustness concerns are addressed using Robust Ordinal Regression and Stochastic Multicriteria Acceptability Analysis to provide recommendations on sorting problems. The method's applicability is demonstrated through an example evaluating European countries based on economic, governmental, and financial data.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2021)

Add to Collection

Article Computer Science, Software Engineering

Polyrun: A Java library for sampling from the bounded convex polytopes

Krzysztof Ciomek et al.

Summary: Polyrun is a Java library that provides methods for exploiting bounded convex polytopes, including the implementation of the Hit-and-Run algorithm. It also offers other procedures for making random steps within a polytope. The software has been used in various application areas and is free and open-source.

SOFTWAREX (2021)

Add to Collection

Article Management

Contingent preference disaggregation model for multiple criteria sorting problem

Milosz Kadzinski et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

Preference disaggregation for multiple criteria sorting with partial monotonicity constraints: Application to exposure management of nanomaterials

Milosz Kadzinski et al.

INTERNATIONAL JOURNAL OF APPROXIMATE REASONING (2020)

Add to Collection

Article Management

A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples

Jiapeng Liu et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)

Add to Collection

Article Computer Science, Artificial Intelligence

A progressive sorting approach for multiple criteria decision aiding in the presence of non-monotonic preferences

Mengzhuo Guo et al.

EXPERT SYSTEMS WITH APPLICATIONS (2019)

Add to Collection

Article Management

Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria

Jiapeng Liu et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2019)

Add to Collection

Article Management

Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis

Milosz Kadzinski et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2018)

Add to Collection

Article Operations Research & Management Science

An interactive algorithm for multiple criteria constrained sorting problem

Selin Ozpeynirci et al.

ANNALS OF OPERATIONS RESEARCH (2018)

Add to Collection

Article Operations Research & Management Science

Multiple criteria hierarchy process for sorting problems based on ordinal regression with additive value functions

Salvatore Corrente et al.

ANNALS OF OPERATIONS RESEARCH (2017)

Add to Collection

Article Management

Deriving rankings from incomplete preference information: A comparison of different approaches

Rudolf Vetschera

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2017)

Add to Collection

Article Engineering, Multidisciplinary

A Model for Sorting Activities to Be Outsourced in Civil Construction Based on ROR-UTADIS

Rachel Perez Palha et al.

MATHEMATICAL PROBLEMS IN ENGINEERING (2016)

Add to Collection

Article Management

Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting

Milosz Kadzinski et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)

Add to Collection

Article Management

A group decision-making approach based on evidential reasoning for multiple criteria sorting problem with uncertainty

Jiapeng Liu et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)

Add to Collection

Article Computer Science, Artificial Intelligence

Learning Value Functions in Interactive Evolutionary Multiobjective Optimization

Juergen Branke et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2015)

Add to Collection

Article Management

Inferring robust decision models in multicriteria classification problems: An experimental analysis

Michael Doumpos et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2014)

Add to Collection

Article Computer Science, Artificial Intelligence

Stochastic ordinal regression for multiple criteria sorting problems

Milosz Kadzinski et al.

DECISION SUPPORT SYSTEMS (2013)

Add to Collection

Article Economics

A MULTIPLE CRITERIA SORTING METHODOLOGY WITH MULTIPLE CLASSIFICATION CRITERIA AND AN APPLICATION TO COUNTRY RISK EVALUATION

Aydin Ulucan et al.

TECHNOLOGICAL AND ECONOMIC DEVELOPMENT OF ECONOMY (2013)

Add to Collection

Article Operations Research & Management Science

An interactive sorting approach based on the assignment examples of multiple decision makers with different priorities

Fu-Ling Cai et al.

ANNALS OF OPERATIONS RESEARCH (2012)

Add to Collection

Article Computer Science, Artificial Intelligence

Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP

Salvatore Greco et al.

DECISION SUPPORT SYSTEMS (2012)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Selection of a representative value function in robust multiple criteria sorting

Salvatore Greco et al.

COMPUTERS & OPERATIONS RESEARCH (2011)

Add to Collection

Article Management

Robustness and information levels in case-based multiple criteria sorting

Rudolf Vetschera et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2010)

Add to Collection

Article Management

ACUTA: A novel method for eliciting additive value functions on the basis of holistic preference statements

Geraldine Bous et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2010)

Add to Collection

Article Management

Multiple criteria sorting with a set of additive value functions

Salvatore Greco et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2010)

Add to Collection

Article Computer Science, Interdisciplinary Applications

An interactive sorting method for additive utility functions

Murat Koeksalan et al.

COMPUTERS & OPERATIONS RESEARCH (2009)

Add to Collection

Article Management

A stochastic method for robustness analysis in sorting problems

Tommi Tervonen et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2009)

Add to Collection

Article Management

Credit risk assessment using a multicriteria hierarchical discrimination approach: A comparative analysis

M Doumpos et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2002)

Add to Collection

Review Management

Multicriteria classification and sorting methods: A literature review

C Zopounidis et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2002)

Add to Collection

Article Management

Comparative analysis of UTA multicriteria methods

M Beuthe et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2001)

Add to Collection

Review Management

Preference disaggregation:: 20 years of MCDA experience

E Jacquet-Lagrèze et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2001)

Add to Collection

Article Management

A preference disaggregation decision support system for financial classification problems

C Zopounidis et al.

EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2001)

Add to Collection

Article Computer Science, Interdisciplinary Applications

PREFDIS: a multicriteria decision support system for sorting decision problems

C Zopounidis et al.

COMPUTERS & OPERATIONS RESEARCH (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.