Milosz Kadzinski

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 56

Top Topics

Decision Aiding

Pairwise Comparison

Multiple Criteria

Monotonicity Constraints

Top Venues

Eur. J. Oper. Res.

Publications

Dariusz Grynia, Milosz Kadzinski, Mladen Stamenkovic
Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports. Comput. Ind. Eng. 190 (2024)
Michal Tomczyk, Milosz Kadzinski
Interactive tool for visualizing the comprehensive performance of evolutionary multi-objective algorithms applied to problems with two or three objectives. GECCO Companion (2024)
Michal Budnik, Jakub Wawrzyniak, Lukasz Grala, Milosz Kadzinski, Natalia Szostak
Deep dive into RNA: a systematic literature review on RNA structure prediction using machine learning methods. Artif. Intell. Rev. 57 (9) (2024)
Dariusz Grynia, Klaudia Dobrogojska, Milosz Kadzinski
Outranking-based approaches for multiple criteria partially ordered clustering: A review of existing algorithms, new proposals, and experimental comparison. Inf. Sci. 678 (2024)
Anna Labijak-Kowalska, Milosz Kadzinski
robustDEA: A Java library for robust efficiency analysis. SoftwareX 26 (2024)
Michal Wójcik, Milosz Kadzinski
Nature-inspired Preference Learning Algorithms Using the Choquet Integral. GECCO (2024)
Michal K. Tomczyk, Milosz Kadzinski
Evolutionary algorithms for solving single- and multiple-objective political redistricting problems: The case study of Poland. Appl. Soft Comput. 152 (2024)
Michal Wójcik, Milosz Kadzinski, Krzysztof Ciomek
Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison. Knowl. Based Syst. 278 (2023)
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
Modeling Contingent Decision Behavior: A Bayesian Nonparametric Preference-Learning Approach. INFORMS J. Comput. 35 (4) (2023)
Anna Labijak-Kowalska, Milosz Kadzinski
Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis. Oper. Res. 23 (1) (2023)
Krzysztof Martyn, Milosz Kadzinski
Deep preference learning for multiple criteria decision analysis. Eur. J. Oper. Res. 305 (2) (2023)
Zice Ru, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences. Eur. J. Oper. Res. 311 (2) (2023)
Anna Labijak-Kowalska, Milosz Kadzinski, Inga Spychala, Luis C. Dias, Javier Fiallos, Jonathan Patrick, Wojtek Michalowski, Ken Farion
Performance evaluation of emergency department physicians using robust value-based additive efficiency model. Int. Trans. Oper. Res. 30 (1) (2023)
Michal Tomczyk, Milosz Kadzinski
Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time. GECCO (2023)
Adam Handke, Damian Józwiak, Piotr Kaminski, Michal Wisniewski, Milosz Kadzinski
Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples. GECCO Companion (2023)
Milosz Kadzinski, Rudolf Vetschera, Pascale Zaraté
Preface to the Special Issue on Decision Support: Combining Technology and Algorithms to Solve Complex Problems. Int. Trans. Oper. Res. 30 (6) (2023)
Michal K. Tomczyk, Milosz Kadzinski
Interactive co-evolutionary multiple objective optimization algorithms for finding consensus solutions for a group of Decision Makers. Inf. Sci. 616 (2022)
Zice Ru, Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao
Bayesian ordinal regression for multiple criteria choice and ranking. Eur. J. Oper. Res. 299 (2) (2022)
Marco Cinelli, Peter Burgherr, Milosz Kadzinski, Roman Slowinski
Proper and improper uses of MCDA methods in energy systems analysis. Decis. Support Syst. 163 (2022)
Marco Cinelli, Milosz Kadzinski, Grzegorz Miebs, Michael Gonzalez, Roman Slowinski
Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system. Eur. J. Oper. Res. 302 (2) (2022)
Milosz Kadzinski, Adam Szczepanski
Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples. Appl. Soft Comput. 116 (2022)
Michal Wójcik, Milosz Kadzinski, Krzysztof Ciomek
Selection of a representative sorting model in a preference disaggregation setting: a review of existing procedures, new proposals, and experimental comparison. CoRR (2022)
Jafar Rezaei, Milosz Kadzinski, Chrysoula Vana, Lori Tavasszy
Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC. Ann. Oper. Res. 312 (2) (2022)
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao
Data-Driven Preference Learning Methods for Value-Driven Multiple Criteria Sorting with Interacting Criteria. INFORMS J. Comput. 33 (2) (2021)
Milosz Kadzinski, Magdalena Martyn
Enriched preference modeling and robustness analysis for the ELECTRE Tri-B method. Ann. Oper. Res. 306 (1) (2021)
Grzegorz Miebs, Milosz Kadzinski
Heuristic algorithms for aggregation of incomplete rankings in multiple criteria group decision making. Inf. Sci. 560 (2021)
Anna Labijak-Kowalska, Milosz Kadzinski
Experimental comparison of results provided by ranking methods in Data Envelopment Analysis. Expert Syst. Appl. 173 (2021)
Milosz Kadzinski, Krzysztof Martyn, Marco Cinelli, Roman Slowinski, Salvatore Corrente, Salvatore Greco
Preference disaggregation method for value-based multi-decision sorting problems with a real-world application in nanotechnology. Knowl. Based Syst. 218 (2021)
Michal K. Tomczyk, Milosz Kadzinski
Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization. Inf. Sci. 549 (2021)
Michal K. Tomczyk, Milosz Kadzinski
Interactive evolutionary multiple objective optimization algorithm using a fast calculation of holistic acceptabilities. GECCO (2021)
Milosz Kadzinski, Krzysztof Ciomek
Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting. Eur. J. Oper. Res. 293 (2) (2021)
Marco Cinelli, Milosz Kadzinski, Grzegorz Miebs, Michael Gonzalez, Roman Slowinski
Recommending Multiple Criteria Decision Analysis Methods with A New Taxonomy-based Decision Support System. CoRR (2021)
Michal K. Tomczyk, Milosz Kadzinski
On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization. GECCO (2020)
Milosz Kadzinski, Mohammad Ghaderi, Maciej Dabrowski
Contingent preference disaggregation model for multiple criteria sorting problem. Eur. J. Oper. Res. 281 (2) (2020)
Milosz Kadzinski, Jan Badura, José Rui Figueira
Using a segmenting description approach in multiple criteria decision aiding. Expert Syst. Appl. 147 (2020)
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. Eur. J. Oper. Res. 286 (3) (2020)
Milosz Kadzinski, Krzysztof Martyn, Marco Cinelli, Roman Slowinski, Salvatore Corrente, Salvatore Greco
Preference disaggregation for multiple criteria sorting with partial monotonicity constraints: Application to exposure management of nanomaterials. Int. J. Approx. Reason. 117 (2020)
Michal K. Tomczyk, Milosz Kadzinski
Decomposition-Based Interactive Evolutionary Algorithm for Multiple Objective Optimization. IEEE Trans. Evol. Comput. 24 (2) (2020)
Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski
Preference-based cone contraction algorithms for interactive evolutionary multiple objective optimization. Swarm Evol. Comput. 52 (2020)
Jiapeng Liu, Xiuwu Liao, Milosz Kadzinski, Roman Slowinski
Preference disaggregation within the regularization framework for sorting problems with multiple potentially non-monotonic criteria. Eur. J. Oper. Res. 276 (3) (2019)
Michal K. Tomczyk, Milosz Kadzinski
EMOSOR: Evolutionary multiple objective optimization guided by interactive stochastic ordinal regression. Comput. Oper. Res. 108 (2019)
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao
Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria. CoRR (2019)
Milosz Kadzinski, Jan Badura, José Rui Figueira
Using a Segmenting Description approach in Multiple Criteria Decision Aiding. CoRR (2019)
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao, Xiaoxin Mao, Yao Wang
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples. CoRR (2019)
Michal K. Tomczyk, Milosz Kadzinski
Robust indicator-based algorithm for interactive evolutionary multiple objective optimization. GECCO (2019)
Krzysztof Ciomek, Valentina Ferretti, Milosz Kadzinski
Predictive analytics and disused railways requalification: Insights from a Post Factum Analysis perspective. Decis. Support Syst. 105 (2018)
Salvatore Greco, Milosz Kadzinski
Feature cluster: Learning perspectives in Multiple Criteria Decision Analysis. Eur. J. Oper. Res. 264 (2) (2018)
Milosz Kadzinski, Michal K. Tomczyk, Roman Slowinski
Interactive Cone Contraction for Evolutionary Mutliple Objective Optimization. Advances in Data Analysis with Computational Intelligence Methods (2018)
Milosz Kadzinski, Marco Cinelli, Krzysztof Ciomek, Stuart R. Coles, Mallikarjuna N. Nadagouda, Rajender S. Varma, Kerry Kirwan
Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis. Eur. J. Oper. Res. 264 (2) (2018)
Milosz Kadzinski, Mohammad Ghaderi, Jakub Wasikowski, Núria Agell
Expressiveness and robustness measures for the evaluation of an additive value function in multiple criteria preference disaggregation methods: An experimental analysis. Comput. Oper. Res. 87 (2017)
Krzysztof Ciomek, Milosz Kadzinski, Tommi Tervonen
Heuristics for selecting pair-wise elicitation questions in multiple criteria choice problems. Eur. J. Oper. Res. 262 (2) (2017)
Milosz Kadzinski, Krzysztof Ciomek, Pawel Rychly, Roman Slowinski
Post factum analysis for robust multiple criteria ranking and sorting. J. Glob. Optim. 65 (3) (2016)
Milosz Kadzinski, Roman Slowinski, Salvatore Greco
Robustness analysis for decision under uncertainty with rule-based preference model. Inf. Sci. 328 (2016)
Milosz Kadzinski, Marcin Michalski
Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression. Comput. Oper. Res. 71 (2016)
Salvatore Corrente, Salvatore Greco, Milosz Kadzinski, Roman Slowinski
Inducing probability distributions on the set of value functions by Subjective Stochastic Ordinal Regression. Knowl. Based Syst. 112 (2016)
Milosz Kadzinski, Krzysztof Ciomek
Integrated framework for preference modeling and robustness analysis for outranking-based multiple criteria sorting with ELECTRE and PROMETHEE. Inf. Sci. (2016)
Milosz Kadzinski, Krzysztof Ciomek, Roman Slowinski
Modeling assignment-based pairwise comparisons within integrated framework for value-driven multiple criteria sorting. Eur. J. Oper. Res. 241 (3) (2015)
Milosz Kadzinski, Roman Slowinski
Parametric evaluation of research units with respect to reference profiles. Decis. Support Syst. 72 (2015)
Milosz Kadzinski, Roman Slowinski, Salvatore Greco
Multiple criteria ranking and choice with all compatible minimal cover sets of decision rules. Knowl. Based Syst. 89 (2015)
Milosz Kadzinski, Michal Tomczyk
Using Ordinal Regression for Interactive Evolutionary Multiple Objective Optimization with Multiple Decision Makers. GDN (2015)
Roman W. Slowinski, Milosz Kadzinski, Salvatore Greco
Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty. RSEISP (2014)
Milosz Kadzinski, Salvatore Greco, Roman Slowinski
Robust Ordinal Regression for Dominance-based Rough Set Approach to multiple criteria sorting. Inf. Sci. 283 (2014)
Milosz Kadzinski, Salvatore Corrente, Salvatore Greco, Roman Slowinski
Preferential reducts and constructs in robust multiple criteria ranking and sorting. OR Spectr. 36 (4) (2014)
Milosz Kadzinski, Tommi Tervonen
Robust multi-criteria ranking with additive value models and holistic pair-wise preference statements. Eur. J. Oper. Res. 228 (1) (2013)
Salvatore Corrente, Salvatore Greco, Milosz Kadzinski, Roman Slowinski
Robust ordinal regression in preference learning and ranking. Mach. Learn. 93 (2-3) (2013)
Milosz Kadzinski, Tommi Tervonen
Stochastic ordinal regression for multiple criteria sorting problems. Decis. Support Syst. 55 (1) (2013)
Milosz Kadzinski, Roman Slowinski
DIS-CARD: a new method of multiple criteria sorting to classes with desired cardinality. J. Glob. Optim. 56 (3) (2013)
Salvatore Greco, Milosz Kadzinski, Vincent Mousseau, Roman Slowinski
-GROUP. Decis. Support Syst. 52 (3) (2012)
Milosz Kadzinski, Salvatore Greco, Roman Slowinski
Selection of a representative value function in robust multiple criteria ranking and choice. Eur. J. Oper. Res. 217 (3) (2012)
Milosz Kadzinski, Salvatore Greco, Roman Slowinski
Selection of a representative set of parameters for robust ordinal regression outranking methods. Comput. Oper. Res. 39 (11) (2012)
Milosz Kadzinski, Roman Slowinski
Interactive Robust Cone Contraction Method for Multiple Objective Optimization Problems. Int. J. Inf. Technol. Decis. Mak. 11 (2) (2012)
Salvatore Greco, Milosz Kadzinski, Roman Slowinski
Selection of a representative value function in robust multiple criteria sorting. Comput. Oper. Res. 38 (11) (2011)
Salvatore Greco, Milosz Kadzinski, Vincent Mousseau, Roman Slowinski
: Robust ordinal regression for outranking methods. Eur. J. Oper. Res. 214 (1) (2011)
Krzysztof Wlodarczyk, Paulina Andryszak, Wojciech Lason, Piotr Walecki, Milosz Kadzinski, Marcin Ziolkowski, Slawomir Biedrzycki, Edward Jacek Gorzelanczyk
Studying the impact of a single dose of methadone on the ability of psychomotor function in opioid-addicted individuals on methadone maintenance. Bio Algorithms Med Syst. 6 (12-S) (2010)
Wojciech Lason, Piotr Walecki, Paulina Andryszak, Krzysztof Wlodarczyk, Slawomir Biedrzycki, Marcin Ziolkowski, Milosz Kadzinski, Edward Jacek Gorzelanczyk
Usage of the graphics tablet to study of impact of a single dose of methadone on the ability of psychographomotor function in opioid-addicted individuals on methadone maintenance. Bio Algorithms Med Syst. 6 (12-S) (2010)