Roman Slowinski

Orcid: 0000-0002-5200-7795

Affiliations:
  • Poznan University of Technology, Poland


According to our database1, Roman Slowinski authored at least 273 papers between 1977 and 2025.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2017, "For contributions to dominance-based rough set theory, robust ordinal regression and preference learning".

Timeline

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Bibliography

2025
FRRI: A novel algorithm for fuzzy-rough rule induction.
Inf. Sci., 2025

2024
Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies - part II.
4OR, September, 2024

Preference learning and multiple criteria decision aiding: differences, commonalities, and synergies-part I.
4OR, June, 2024

Multi-class granular approximation by means of disjoint and adjacent fuzzy granules.
Fuzzy Sets Syst., February, 2024

Multi-dimensional multi-round minimum cost consensus models with iterative mechanisms involving reward and punishment measures.
Knowl. Based Syst., 2024

Explaining and predicting customer churn by monotonic rules induced from ordinal data.
Eur. J. Oper. Res., 2024

2024 Editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2024

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda.
Eur. J. Oper. Res., 2024

Representation of preferences for multiple criteria decision aiding in a new seven-valued logic.
CoRR, 2024

2023
Consensus modeling with interactive utility and partial preorder of decision-makers, involving fairness and tolerant behavior.
Inf. Sci., August, 2023

Granular approximations: A novel statistical learning approach for handling data inconsistency with respect to a fuzzy relation.
Inf. Sci., June, 2023

2023 Editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2023

Pawlak, Belnap and the Magical Number Seven.
Proceedings of the Rough Sets - International Joint Conference, 2023

Multiple Criteria Decision Aiding by Constructive Preference Learning (Keynote Lecture - Extended Abstract).
Proceedings of the 18th Conference on Computer Science and Intelligence Systems, 2023

2022
Granular representation of OWA-based fuzzy rough sets.
Fuzzy Sets Syst., 2022

2022 Editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2022

Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system.
Eur. J. Oper. Res., 2022

Proper and improper uses of MCDA methods in energy systems analysis.
Decis. Support Syst., 2022

Fuzzy granular approximation classifier.
CoRR, 2022

2021
Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology.
Knowl. Based Syst., 2021

Empirical risk minimization for dominance-based rough set approaches.
Inf. Sci., 2021

Fuzzy extensions of the dominance-based rough set approach.
Int. J. Approx. Reason., 2021

Auto loan fraud detection using dominance-based rough set approach versus machine learning methods.
Expert Syst. Appl., 2021

2021 editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2021

A Novel Machine Learning Approach to Data Inconsistency with respect to a Fuzzy Relation.
CoRR, 2021

The hierarchical SMAA-PROMETHEE method applied to assess the sustainability of European cities.
Appl. Intell., 2021

Constructive Preference Learning.
Proceedings of the 10th International Conference on Operations Research and Enterprise Systems, 2021

2020
Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization.
Swarm Evol. Comput., 2020

Preference disaggregation for multiple criteria sorting with partial monotonicity constraints: Application to exposure management of nanomaterials.
Int. J. Approx. Reason., 2020

2020 editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2020

Rough Sets Meet Statistics - A New View on Rough Set Reasoning About Numerical Data.
Proceedings of the Rough Sets - International Joint Conference, 2020

2019
2019 Editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2019

A statement from the EJOR editors about publication ethics.
Eur. J. Oper. Res., 2019

Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria.
Eur. J. Oper. Res., 2019

Interpretation of Variable Consistency Dominance-Based Rough Set Approach by Minimization of Asymmetric Loss Function.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2019

Extension of the Fuzzy Dominance-Based Rough Set Approach Using Ordered Weighted Average Operators.
Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology, 2019

Differential Diagnosis of Bacterial and Viral Meningitis Using Dominance-Based Rough Set Approach.
Proceedings of the Artificial Intelligence in Medicine: Knowledge Representation and Transparent and Explainable Systems, 2019

2018
Distinguishing Vagueness from Ambiguity in Rough Set Approximations.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

2018 editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2018

Bernard Roy (1934-2017).
Eur. J. Oper. Res., 2018

Learning ensemble classifiers for diabetic retinopathy assessment.
Artif. Intell. Medicine, 2018

Interactive Cone Contraction for Evolutionary Mutliple Objective Optimization.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

2017
Handling imprecise evaluations in multiple criteria decision aiding and robust ordinal regression by n-point intervals.
Fuzzy Optim. Decis. Mak., 2017

2017 editors' awards for excellence in reviewing.
Eur. J. Oper. Res., 2017

Forty years of the European Journal of Operational Research: A bibliometric overview.
Eur. J. Oper. Res., 2017

Multiple criteria hierarchy process for sorting problems based on ordinal regression with additive value functions.
Ann. Oper. Res., 2017

Rough Set Analysis of Classification Data with Missing Values.
Proceedings of the Rough Sets - International Joint Conference, 2017

Distinguishing Vagueness from Ambiguity in Dominance-Based Rough Set Approach by Means of a Bipolar Pawlak-Brouwer-Zadeh Lattice.
Proceedings of the Rough Sets - International Joint Conference, 2017

2016
Dominance-Based Rough Set Approach to Multiple Criteria Ranking with Sorting-Specific Preference Information.
Proceedings of the Challenges in Computational Statistics and Data Mining, 2016

Inducing probability distributions on the set of value functions by Subjective Stochastic Ordinal Regression.
Knowl. Based Syst., 2016

Post factum analysis for robust multiple criteria ranking and sorting.
J. Glob. Optim., 2016

Robustness analysis for decision under uncertainty with rule-based preference model.
Inf. Sci., 2016

Measures of rule interestingness in various perspectives of confirmation.
Inf. Sci., 2016

Multiple Criteria Hierarchy Process for ELECTRE Tri methods.
Eur. J. Oper. Res., 2016

Using Choquet integral as preference model in interactive evolutionary multiobjective optimization.
Eur. J. Oper. Res., 2016

Similarity-Based Classification with Dominance-Based Decision Rules.
Proceedings of the Rough Sets - International Joint Conference, 2016

Consistency Driven Feature Subspace Aggregating for Ordinal Classification.
Proceedings of the Rough Sets - International Joint Conference, 2016

Multi-objective Search for Comprehensible Rule Ensembles.
Proceedings of the Rough Sets - International Joint Conference, 2016

2015
Probabilistic Rough Sets.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Rough Set Methodology for Decision Aiding.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Learning Value Functions in Interactive Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2015

Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules.
Knowl. Based Syst., 2015

Comparative analysis of targeted metabolomics: Dominance-based rough set approach versus orthogonal partial least square-discriminant analysis.
J. Biomed. Informatics, 2015

Generation of rough sets reducts and constructs based on inter-class and intra-class information.
Fuzzy Sets Syst., 2015

ELECTRE-III-H: An outranking-based decision aiding method for hierarchically structured criteria.
Expert Syst. Appl., 2015

Editors' Awards for Excellence in Reviewing 2015.
Eur. J. Oper. Res., 2015

Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting.
Eur. J. Oper. Res., 2015

Semantic interoperability for automated enterprises.
Enterp. Inf. Syst., 2015

Parametric evaluation of research units with respect to reference profiles.
Decis. Support Syst., 2015

Empirical Risk Minimization for Variable Consistency Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

2014
Preferential reducts and constructs in robust multiple criteria ranking and sorting.
OR Spectr., 2014

Generating a set of association and decision rules with statistically representative support and anti-support.
Inf. Sci., 2014

Variable consistency dominance-based rough set approach to preference learning in multicriteria ranking.
Inf. Sci., 2014

Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting.
Inf. Sci., 2014

Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-Quaternary Imidazolium Chlorides.
Fundam. Informaticae, 2014

Robust ordinal regression for value functions handling interacting criteria.
Eur. J. Oper. Res., 2014

Preference Learning (Dagstuhl Seminar 14101).
Dagstuhl Reports, 2014

Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

A Rough Set Approach to Novel Compounds Activity Prediction Based on Surface Active Properties and Molecular Descriptors.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, 2014

2013
Professor Zdzisław Pawlak (1926-2006): Founder of the Polish School of Artificial Intelligence.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

jMAF - Dominance-Based Rough Set Data Analysis Framework.
Proceedings of the Rough Sets and Intelligent Systems - Professor Zdzisław Pawlak in Memoriam, 2013

On Nonparametric Ordinal Classification with Monotonicity Constraints.
IEEE Trans. Knowl. Data Eng., 2013

Robust ordinal regression in preference learning and ranking.
Mach. Learn., 2013

DIS-CARD: a new method of multiple criteria sorting to classes with desired cardinality.
J. Glob. Optim., 2013

Finding Meaningful Bayesian Confirmation Measures.
Fundam. Informaticae, 2013

A Novel Method for Elimination of Inconsistencies in Ordinal Classification with Monotonicity Constraints.
Fundam. Informaticae, 2013

Putting Dominance-based Rough Set Approach and robust ordinal regression together.
Decis. Support Syst., 2013

Empirical Risk Minimization for Variable Precision Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets and Knowledge Technology - 8th International Conference, 2013

Multiple Criteria Hierarchy Process for the Choquet Integral.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013

2012
Properties of rule interestingness measures and alternative approaches to normalization of measures.
Inf. Sci., 2012

Interactive Robust Cone Contraction Method for Multiple Objective Optimization Problems.
Int. J. Inf. Technol. Decis. Mak., 2012

The Bipolar Complemented de Morgan Brouwer-Zadeh Distributive Lattice as an Algebraic Structure for the Dominance-based Rough Set Approach.
Fundam. Informaticae, 2012

Selection of a representative value function in robust multiple criteria ranking and choice.
Eur. J. Oper. Res., 2012

Inductive discovery of laws using monotonic rules.
Eng. Appl. Artif. Intell., 2012

Robust ordinal regression for multiple criteria group decision: UTA<sup>GMS</sup>-GROUP and UTADIS<sup>GMS</sup>-GROUP.
Decis. Support Syst., 2012

Erratum to "Multiple Criteria Hierarchy Process in Robust Ordinal Regression" [Decis. Support Syst. 53/3 (2012) 660-674].
Decis. Support Syst., 2012

Multiple Criteria Hierarchy Process in Robust Ordinal Regression.
Decis. Support Syst., 2012

Selection of a representative set of parameters for robust ordinal regression outranking methods.
Comput. Oper. Res., 2012

Application of Rough Set Theory to Prediction of Antimicrobial Activity of Bis-quaternary Ammonium Chlorides.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Analysis of Symmetry Properties for Bayesian Confirmation Measures.
Proceedings of the Rough Sets and Knowledge Technology - 7th International Conference, 2012

Induction of Ordinal Classification Rules from Incomplete Data.
Proceedings of the Rough Sets and Current Trends in Computing, 2012

Extending Concordance and Discordance Relations to Hierarchical Sets of Criteria in ELECTRE-III Method.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2012

Discovering the Preferences of Physicians with Regards to Rank-Ordered Medical Documents.
Proceedings of the Advances in Computational Intelligence, 2012

Label Ranking: A New Rule-Based Label Ranking Method.
Proceedings of the Advances on Computational Intelligence, 2012

Distinguishing Vagueness from Ambiguity by Means of Pawlak-Brouwer-Zadeh Lattices.
Proceedings of the Advances on Computational Intelligence, 2012

On Different Ways of Handling Inconsistencies in Ordinal Classification with Monotonicity Constraints.
Proceedings of the Advances on Computational Intelligence, 2012

2011
Sequential covering rule induction algorithm for variable consistency rough set approaches.
Inf. Sci., 2011

ELECTRE<sup>GKMS</sup>: Robust ordinal regression for outranking methods.
Eur. J. Oper. Res., 2011

Selection of a representative value function in robust multiple criteria sorting.
Comput. Oper. Res., 2011

Global investing risk: a case study of knowledge assessment via rough sets.
Ann. Oper. Res., 2011

Case-Based Reasoning Using Dominance-Based Decision Rules.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Dominance-Based Rough Set Approach on Pairwise Comparison Tables to Decision Involving Multiple Decision Makers.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

Rule-Based Estimation of Attribute Relevance.
Proceedings of the Rough Sets and Knowledge Technology - 6th International Conference, 2011

New property for rule interestingness measures.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2011

Interactive Multiobjective Mixed-Integer Optimization Using Dominance-Based Rough Set Approach.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2011

2010
Dominance-Based Rough Set Approach to Interactive Evolutionary Multiobjective Optimization.
Proceedings of the Preferences and Decisions - Models and Applications, 2010

Algebra and Topology for Dominance-Based Rough Set Approach.
Proceedings of the Advances in Intelligent Information Systems, 2010

Beyond Sequential Covering - Boosted Decision Rules.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

On Topological Dominance-based Rough Set Approach.
Trans. Rough Sets, 2010

Variable Consistency Bagging Ensembles.
Trans. Rough Sets, 2010

Multiple criteria sorting with a set of additive value functions.
Eur. J. Oper. Res., 2010

ENDER: a statistical framework for boosting decision rules.
Data Min. Knowl. Discov., 2010

Dominance-based Rough Set Approach to decision under uncertainty and time preference.
Ann. Oper. Res., 2010

Knowledge Discovery about Preferences Using the Dominance-Based Rough Set Approach.
Proceedings of the Rough Set and Knowledge Technology - 5th International Conference, 2010

New Applications and Theoretical Foundations of the Dominance-based Rough Set Approach.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Learnability in Rough Set Approaches.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Ordinal Classification with Monotonicity Constraints by Variable Consistency Bagging.
Proceedings of the Rough Sets and Current Trends in Computing, 2010

Alternative Normalization Schemas for Bayesian Confirmation Measures.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Dominance-Based Rough Set Approach to Preference Learning from Pairwise Comparisons in Case of Decision under Uncertainty.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Probabilistic Rough Set Approaches to Ordinal Classification with Monotonicity Constraints.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

A Summary and Update of "Granular Computing and Data Mining for Ordered Data: The Dominance-Based Rough Set Approach".
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Interactive Evolutionary Multiobjective Optimization using Dominance-based Rough Set Approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Robust Ordinal Regression.
Proceedings of the Trends in Multiple Criteria Decision Analysis, 2010

Learning of Rule Ensembles for Multiple Attribute Ranking Problems.
Proceedings of the Preference Learning., 2010

2009
Fuzzy Multi-objective Linear Programming.
Proceedings of the Encyclopedia of Optimization, Second Edition, 2009

Rough Sets in Decision Making.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Granular Computing and Data Mining for Ordered Data: The Dominance-Based Rough Set Approach.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

Monotonic Variable Consistency Rough Set Approaches.
Int. J. Approx. Reason., 2009

Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints.
Fundam. Informaticae, 2009

Project management and scheduling: Feature cluster in Honor of Jan Weglarz on his 60th Birthday.
Eur. J. Oper. Res., 2009

Building a set of additive value functions representing a reference preorder and intensities of preference: GRIP method.
Eur. J. Oper. Res., 2009

Rough set approach to multiple criteria classification with imprecise evaluations and assignments.
Eur. J. Oper. Res., 2009

Analysis of monotonicity properties of some rule interestingness measures.
Control. Cybern., 2009

Interactive Robust Multiobjective Optimization Driven by Decision Rule Preference Model.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2009

Rule learning with monotonicity constraints.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Rough Set Approach to Knowledge Discovery about Preferences.
Proceedings of the Computational Collective Intelligence. Semantic Web, 2009

Interactive Evolutionary Multiobjective Optimization Using Robust Ordinal Regression.
Proceedings of the Evolutionary Multi-Criterion Optimization, 5th International Conference, 2009

09041 Working Group on MCDM for Robust Multiobjective Optimization (1st Round).
Proceedings of the Hybrid and Robust Approaches to Multiobjective Optimization, 18.01., 2009

The Possible and the Necessary for Multiple Criteria Group Decision.
Proceedings of the Algorithmic Decision Theory, First International Conference, 2009

2008
Fuzzy Set Extensions of the Dominance-Based Rough Set Approach.
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

Telesfor - Telemedical Real-Time Communication Support System.
Proceedings of the Information Technologies in Biomedicine, 2008

Stochastic dominance-based rough set model for ordinal classification.
Inf. Sci., 2008

Parameterized rough set model using rough membership and Bayesian confirmation measures.
Int. J. Approx. Reason., 2008

Handling effects of reinforced preference and counter-veto in credibility of outranking.
Eur. J. Oper. Res., 2008

Ordinal regression revisited: Multiple criteria ranking using a set of additive value functions.
Eur. J. Oper. Res., 2008

Multicriteria decision support using rules that represent rough-graded preference relations.
Eur. J. Oper. Res., 2008

Dominance-Based Rough Set Approach to Reasoning about Ordinal Data - A Tutorial.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Case-Based Reasoning Using Gradual Rules Induced from Dominance-Based Rough Approximations.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Algebraic Structures for Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints.
Proceedings of the Rough Sets and Knowledge Technology, Third International Conference, 2008

Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces.
Proceedings of the Rough Sets and Current Trends in Computing, 2008

Ordinal Qualitative Scales.
Proceedings of the Multiple Criteria Decision Making for Sustainable Energy and Transportation Systems, 2008

Maximum likelihood rule ensembles.
Proceedings of the Machine Learning, 2008

Assessing the Quality of Rules with a New Monotonic Interestingness Measure Z.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Solving Regression by Learning an Ensemble of Decision Rules.
Proceedings of the Artificial Intelligence and Soft Computing, 2008

Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization.
Proceedings of the Multiobjective Optimization, 2008

Interactive Multiobjective Optimization Using a Set of Additive Value Functions.
Proceedings of the Multiobjective Optimization, 2008

Interactive Multiobjective Optimization from a Learning Perspective.
Proceedings of the Multiobjective Optimization, 2008

2007
Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory.
Trans. Rough Sets, 2007

Designing man-machine interactions for mobile clinical systems: MET triage support using Palm handhelds.
Eur. J. Oper. Res., 2007

Multi-criteria classification - A new scheme for application of dominance-based decision rules.
Eur. J. Oper. Res., 2007

Mining Pareto-optimal rules with respect to support and confirmation or support and anti-support.
Eng. Appl. Artif. Intell., 2007

Bayesian Decision Theory for Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Optimized Generalized Decision in Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets and Knowledge Technology, Second International Conference, 2007

Evaluating Importance of Conditions in the Set of Discovered Rules.
Proceedings of the Rough Sets, 2007

Relationship Between Loss Functions and Confirmation Measures.
Proceedings of the Rough Sets, 2007

Mining Association Rules with Respect to Support and Anti-support-Experimental Results.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Dominance-Based Rough Set Approach to Reasoning About Ordinal Data.
Proceedings of the Rough Sets and Intelligent Systems Paradigms, International Conference, 2007

Statistical Model for Rough Set Approach to Multicriteria Classification.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Ordinal Classification with Decision Rules.
Proceedings of the Mining Complex Data, ECML/PKDD 2007 Third International Workshop, 2007

2006
Fuzzy rough sets and multiple-premise gradual decision rules.
Int. J. Approx. Reason., 2006

Obituary.
Fuzzy Sets Syst., 2006

Multi-criteria assignment problem with incompatibility and capacity constraints.
Ann. Oper. Res., 2006

Dominance-Based Rough Set Approach to Decision Involving Multiple Decision Makers.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Rough Set Approach to Customer Satisfaction Analysis.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Quality of Rough Approximation in Multi-criteria Classification Problems.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

On Variable Consistency Dominance-Based Rough Set Approaches.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values.
Proceedings of the Rough Sets and Current Trends in Computing, 2006

Dominance-Based Rough Set Approach to Case-Based Reasoning.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

Application of Bayesian Confirmation Measures for Mining Rules from Support-Confidence Pareto-Optimal Set.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

06501 Abstracts Collection - Practical Approaches to Multi-Objective Optimization.
Proceedings of the Practical Approaches to Multi-Objective Optimization, 10.12., 2006

2005
Measuring expected effects of interventions based on decision rules.
J. Exp. Theor. Artif. Intell., 2005

Modus ponens versus modus tollens associated with rough gradual decision rules induced from a decision table.
Int. J. Hybrid Intell. Syst., 2005

Supporting triage of children with abdominal pain in the emergency room.
Eur. J. Oper. Res., 2005

Generalizing Rough Set Theory Through Dominance-Based Rough Set Approach.
Proceedings of the Rough Sets, 2005

Rough Membership and Bayesian Confirmation Measures for Parameterized Rough Sets.
Proceedings of the Rough Sets, 2005

Second-Order Rough Approximations in Multi-criteria Classification with Imprecise Evaluations and Assignments.
Proceedings of the Rough Sets, 2005

Equivalence of Fuzzy-rough Modus Ponens and Fuzzy-rough Modus Tollens.
Proceedings of the Advances in Logic Based Intelligent Systems, 2005

Multi-criteria ranking of a finite set of alternatives using ordinal regression and additive utility functions - a new UTA-GMS method.
Proceedings of the Practical Approaches to Multi-Objective Optimization, 2005

Measuring Attractiveness of Rules from the Viewpoint of Knowledge Representation, Prediction and Efficiency of Intervention.
Proceedings of the Advances in Web Intelligence Third International Atlantic Web IntelligenceConference, 2005

2004
Incremental versus Non-incremental Rule Induction for Multicriteria Classification.
Trans. Rough Sets, 2004

A New Proposal for Fuzzy Rough Approximations and Gradual Decision Rule Representation.
Trans. Rough Sets, 2004

Editorial.
Eur. J. Oper. Res., 2004

Axiomatic characterization of a general utility function and its particular cases in terms of conjoint measurement and rough-set decision rules.
Eur. J. Oper. Res., 2004

Can Bayesian confirmation measures be useful for rough set decision rules?
Eng. Appl. Artif. Intell., 2004

Fuzzy-Rough Modus Ponens and Modus Tollens as a Basis for Approximate Reasoning.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Bayesian Confirmation Measures within Rough Set Approach.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Measuring the Expected Impact of Decision Rule Application.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Multicriteria Choice and Ranking Using Decision Rules Induced from Rough Approximation of Graded Preference Relations.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Rough Set Methodology in Clinical Practice: Controlled Hospital Trial of the MET System.
Proceedings of the Rough Sets and Current Trends in Computing, 2004

Inducing Robust Decision Rules from Rough Approximations of a Preference Relation.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Inducing Jury's Preferences in Terms of Acoustic Features of Violin Sounds.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Triage of Acute Abdominal Pain in Childhood: Clinical Use of a Palm Handheld in a Pediatric Emergency Department.
Proceedings of the 37th Hawaii International Conference on System Sciences (HICSS-37 2004), 2004

Knowledge Discovery from Digital Media Objects Using Preference Semantics.
Proceedings of the Knowledge-Based Media Analysis for Self-Adaptive and Agile Multi-Media, 2004

Mobile Emergency Triage Support System.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Possibility and necessity measure specification using modifiers for decision making under fuzziness.
Fuzzy Sets Syst., 2003

Incremental Induction of Decision Rules from Dominance-based Rough Approximations.
Proceedings of the International Workshop on Rough Sets in Knowledge Discovery and Soft Computing, 2003

Mobile clinical support system for pediatric emergencies.
Decis. Support Syst., 2003

Rough Sets and Gradual Decision Rules.
Proceedings of the Rough Sets, 2003

Hierarchical Clustering of Text Corpora Using Suffix Trees.
Proceedings of the Intelligent Information Processing and Web Mining, 2003

2002
Rough approximation by dominance relations.
Int. J. Intell. Syst., 2002

A Graded Quadrivalent Logic for Ordinal Preference Modelling: Loyola-Like Approach.
Fuzzy Optim. Decis. Mak., 2002

Rough sets methodology for sorting problems in presence of multiple attributes and criteria.
Eur. J. Oper. Res., 2002

Sequential Construction of Features based on genetically transformed Data.
Proceedings of the Recent Advances in Simulated Evolution and Learning [extended and revised papers selected from the 4th Asia-Pacific Conference on Simulated Evolution and Learning, 2002

Rough Set Analysis of Preference-Ordered Data.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Generalized Decision Algorithms, Rough Inference Rules, and Flow Graphs.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Importance and Interaction of Conditions in Decision Rules.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Dominance-Based Rough Set Approach Using Possibility and Necessity Measures.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Variable Consistency Monotonic Decision Trees.
Proceedings of the Rough Sets and Current Trends in Computing, 2002

Mining Association Rules in Preference-Ordered Data.
Proceedings of the Foundations of Intelligent Systems, 13th International Symposium, 2002

Mining Decision-Rule Preference Model from Rough Approximation of Preference Relation.
Proceedings of the 26th International Computer Software and Applications Conference (COMPSAC 2002), 2002

2001
Rough sets theory for multicriteria decision analysis.
Eur. J. Oper. Res., 2001

Rule-Based Decision Support in Multicriteria Choice and Ranking.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2001

2000
A Generalized Definition of Rough Approximations Based on Similarity.
IEEE Trans. Knowl. Data Eng., 2000

Pareto Simulated Annealing for Fuzzy Multi-Objective Combinatorial Optimization.
J. Heuristics, 2000

A user-oriented implementation of the ELECTRE-TRI method integrating preference elicitation support.
Comput. Oper. Res., 2000

An Algorithm for Induction of Decision Rules Consistent with the Dominance Principle.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

Variable Consistency Model of Dominance-Based Rough Sets Approach.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

Rough Set Approach to Decisions under Risk.
Proceedings of the Rough Sets and Current Trends in Computing, 2000

Rough Set Processing of Vague Information Using Fuzzy Similarity Relations.
Proceedings of the Finite Versus Infinite, 2000

1999
The 'Light Beam Search' approach - an overview of methodology and applications.
Eur. J. Oper. Res., 1999

Rough approximation of a preference relation by dominance relations.
Eur. J. Oper. Res., 1999

Business failure prediction using rough sets.
Eur. J. Oper. Res., 1999

Handling Missing Values in Rough Set Analysis of Multi-Attribute and Multi-Criteria Decision Problems.
Proceedings of the New Directions in Rough Sets, 1999

1998
Inferring an ELECTRE TRI Model from Assignment Examples.
J. Glob. Optim., 1998

Interactive analysis of multiple-criteria project scheduling problems.
Eur. J. Oper. Res., 1998

ROSE - Software Implementation of the Rough Set Theory.
Proceedings of the Rough Sets and Current Trends in Computing, 1998

Pedagogical Method for Extraction of Symbolic Knowledge from Neural Networks.
Proceedings of the Rough Sets and Current Trends in Computing, 1998

Fuzzy Similarity Relation as a Basis for Rough Approximations.
Proceedings of the Rough Sets and Current Trends in Computing, 1998

A New Rough Set Approach to Multicriteria and Multiattribute Classification.
Proceedings of the Rough Sets and Current Trends in Computing, 1998

1997
Prediction of company acquisition in Greece by means of the rough set approach.
Eur. J. Oper. Res., 1997

1996
Rough-Set Reasoning about Uncertain Data.
Fundam. Informaticae, 1996

Fuzzy priority heuristics for project scheduling.
Fuzzy Sets Syst., 1996

1995
Rough Set Reduction of Attributes and their Domains for Neural Networks.
Comput. Intell., 1995

Rough Sets.
Commun. ACM, 1995

1993
Handling Various Types of Uncertainty in the Rough Set Approach.
Proceedings of the Rough Sets, 1993

Rough Set Analysis of Multi-Classical Logics.
Proceedings of the Rough Sets, 1993

Neural Networks and Rough Sets - Comparison and Combination for Classification of Histological Pictures.
Proceedings of the Rough Sets, 1993

Rough Set Learning of Preferential Attitude in Multi-Criteria Decision Making.
Proceedings of the Methodologies for Intelligent Systems, 7th International Symposium, 1993

1992
The Rough Sets Approach to Knowledge Analysis for Classification Support in Technical Diagnostics of Mechanical Objects.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1992

'Roughdas' and 'Roughclass' Software Implementations of the Rough Sets Approach.
Proceedings of the Intelligent Decision Support, 1992

Sensitivity of Rough Classification to Changes in Norms of Attributes.
Proceedings of the Intelligent Decision Support, 1992

Analysis of Diagnostic Symptoms in Vibroacoustic Diagnostics by Means of the Rough Sets Theory.
Proceedings of the Intelligent Decision Support, 1992

Comparison of the Rough Sets Approach and Probabilistic Data Analysis Techniques on a Common Set of Medical Data.
Proceedings of the Intelligent Decision Support, 1992

1990
Sensitivity Analysis of Rough Classification.
Int. J. Man Mach. Stud., 1990

1989
Preemptive scheduling with staircase and piecewise linear resource availability.
ZOR Methods Model. Oper. Res., 1989

1986
Rough Classification of Patients After Highly Selective Vagotomy for Duodenal Ulcer.
Int. J. Man Mach. Stud., 1986

1984
Application of the ellipsoid method in an interactive procedure for multicriteria linear programming.
Z. Oper. Research, 1984

1979
Cost-Minimal Preemptive Scheduling of Independent Jobs With Release and Due Dates on Open Shop Under Resource Constraints.
Inf. Process. Lett., 1979

1978
Scheduling preemptible tasks on unrelated processors with additional resources to minimize schedule length.
Proceedings of the Information Systems Methodology, 1978

1977
Algorithm 520: An Automatic Revised Simplex Method for Constrained Resource Network Scheduling [H].
ACM Trans. Math. Softw., 1977


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