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Miłosz Kadziński
Miłosz Kadziński
Poznan University of Technology, Faculty of Computing and Telecommunications, Institute of Computing
Verified email at cs.put.poznan.pl
Title
Cited by
Year
4 Working Groups (WGs) 4.1 Modeling Behavior-Realistic Artificial Decision-Makers to Test Preference-Based Multiple Objective Optimization Methods (WG1)
J Branke, S Corrente, S Greco, M Kadziński, M López-Ibáñez, ...
Understanding Complexity in Multiobjective Optimization, 110, 0
4 Working Groups (WGs) 4.1 Multi-criteria decision making under performance and preference uncertainty (WG1)
M Binois, J Branke, A Engau, CM Fonseca, S Greco, M Kadziński, ...
Personalized Multiobjective Optimization: An Analytics Perspective, 45, 2018
2018
A multi-criteria inference approach for anti-desertification management
T Tervonen, A Sepehr, M Kadziński
Journal of Environmental Management 162, 9-19, 2015
282015
A multiple criteria Bayesian hierarchical model for analyzing heterogeneous consumer preferences
J Liu, Y Wang, M Kadziński, X Mao, Y Rao
Omega 128, 103113, 2024
2024
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
J Liu, M Kadziński, X Liao, X Mao, Y Wang
European Journal of Operational Research 286 (3), 963-985, 2020
332020
Active learning strategies for interactive elicitation of assignment examples for threshold-based multiple criteria sorting
M Kadziński, K Ciomek
European Journal of Operational Research 293 (2), 658-680, 2021
152021
Advancing hazard assessment of energy accidents in the natural gas sector with rough set theory and decision rules
M Cinelli, M Spada, M Kadziński, G Miebs, P Burgherr
Energies 12 (21), 4178, 2019
62019
Aggregation of Stochastic Rankings in Group Decision Making
M Kadziński, G Miebs, D Grynia, R Słowiński
Collective Decisions: Theory, Algorithms And Decision Support Systems, 83-101, 2022
2022
AI to the Rescue on Complex Decisions
M Kadziński
ACADEMIA-The magazine of the Polish Academy of Sciences, 18-21-18-21, 2019
2019
An active preference learning approach to aid the selection of validators in blockchain environments
J Gehrlein, G Miebs, M Brunelli, M Kadziński
Omega 118, 102869, 2023
42023
Application of a novel PROMETHEE-based method for construction of a group compromise ranking to prioritization of green suppliers in food supply chain
K Govindan, M Kadziński, R Sivakumar
Omega 71, 129-145, 2017
2292017
Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports
D Grynia, M Kadziński, M Stamenković
Computers & Industrial Engineering 190, 110065, 2024
22024
Bayesian ordinal regression for multiple criteria choice and ranking
Z Ru, J Liu, M Kadziński, X Liao
European Journal of Operational Research 299 (2), 600-620, 2022
72022
Classification models for the risk assessment of energy accidents in the natural gas sector
M Cinelli, M Spada, G Miebs, M Kadziński, P Burgherr
Resilience. The 2nd International Workshop on Modelling of Physical …, 2017
32017
Co-constructive development of a green chemistry-based model for the assessment of nanoparticles synthesis
M Kadziński, M Cinelli, K Ciomek, SR Coles, MN Nadagouda, RS Varma, ...
European journal of operational research 264 (2), 472-490, 2018
582018
Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time
M Tomczyk, M Kadziński
Proceedings of the Genetic and Evolutionary Computation Conference, 759-767, 2023
22023
Comprehensive resilience assessment of electricity supply security for 140 countries
P Gasser, J Suter, M Cinelli, M Spada, P Burgherr, S Hirschberg, ...
Ecological indicators 110, 105731, 2020
672020
Contingent preference disaggregation model for multiple criteria sorting problem
M Kadziński, M Ghaderi, M Dąbrowski
European Journal of Operational Research 281 (2), 369-387, 2020
322020
Data-driven Preference Learning Methods for Sorting Problems with Multiple Temporal Criteria
Y Li, M Guo, M Kadziński, Q Zhang
arXiv e-prints, arXiv: 2309.12620, 2023
2023
Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria
J Liu, M Kadziński, X Liao, X Mao
INFORMS Journal on Computing 33 (2), 586-606, 2021
452021
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Articles 1–20