Miłosz Kadziński
Politechnika Poznanska
H-index: 33
Europe-Poland
Top articles of Miłosz Kadziński
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
robustDEA: A Java library for robust efficiency analysis | SoftwareX | Anna Labijak-Kowalska Miłosz Kadziński | 2024/5/1 |
Attaining robust performance targets in data envelopment analysis with application to efficiency evaluation of airports | Computers & Industrial Engineering | Dariusz Grynia Miłosz Kadziński Mladen Stamenković | 2024/4/1 |
Robustness analysis for imprecise additive value efficiency analysis with an application to evaluation of special economic zones in Poland | Socio-Economic Planning Sciences | Anna Labijak-Kowalska Miłosz Kadziński Luis C Dias | 2024/4/1 |
Evolutionary algorithms for solving single-and multiple-objective political redistricting problems: The case study of Poland | Applied Soft Computing | Michał K Tomczyk Miłosz Kadziński | 2024/2/1 |
Deep preference learning for multiple criteria decision analysis | European Journal of Operational Research | Krzysztof Martyn Miłosz Kadziński | 2023/3/1 |
Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time | Michał Tomczyk Miłosz Kadziński | 2023/7/15 | |
Probabilistic ordinal regression methods for multiple criteria sorting admitting certain and uncertain preferences | European Journal of Operational Research | Zice Ru Jiapeng Liu Miłosz Kadziński Xiuwu Liao | 2023/12/1 |
Performance evaluation of emergency department physicians using robust value‐based additive efficiency model | International Transactions in Operational Research | Anna Labijak‐Kowalska Miłosz Kadziński Inga Spychała Luis C Dias Javier Fiallos | 2023/1 |
Modeling contingent decision behavior: A Bayesian nonparametric preference-learning approach | INFORMS Journal on Computing | Jiapeng Liu Miłosz Kadziński Xiuwu Liao | 2023/7 |
Preface to the Special Issue on Decision Support: Combining Technology and Algorithms to Solve Complex Problems | International Transactions in Operational Research | Miłosz Kadziński Rudolf Vetschera Pascale Zaraté | 2023/11 |
An active preference learning approach to aid the selection of validators in blockchain environments | Omega | Jonas Gehrlein Grzegorz Miebs Matteo Brunelli Miłosz Kadziński | 2023/7/1 |
Data-driven Preference Learning Methods for Sorting Problems with Multiple Temporal Criteria | arXiv e-prints | Yijun Li Mengzhuo Guo Miłosz Kadziński Qingpeng Zhang | 2023/9 |
Robust Additive Value-Based Efficiency Analysis with a Hierarchical Structure of Inputs and Outputs | Applied Sciences | Anna Labijak-Kowalska Miłosz Kadziński Weronika Mrozek | 2023/5/24 |
Selection of a representative sorting model in a preference disaggregation setting: A review of existing procedures, new proposals, and experimental comparison | Michał Wójcik Miłosz Kadziński Krzysztof Ciomek | 2023/8/1 | |
Exact and stochastic methods for robustness analysis in the context of Imprecise Data Envelopment Analysis | Operational Research | Anna Labijak-Kowalska Miłosz Kadziński | 2023/3 |
Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples | Adam Handke Damian Jóźwiak Piotr Kamiński Michał Wiśniewski Miłosz Kadziński | 2023/7/15 | |
Learning the parameters of an outranking-based sorting model with characteristic class profiles from large sets of assignment examples | Applied Soft Computing | Miłosz Kadziński Adam Szczepański | 2022/2/1 |
Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system | European Journal of Operational Research | Marco Cinelli Miłosz Kadziński Grzegorz Miebs Michael Gonzalez Roman Słowiński | 2022/10/16 |
Aggregation of Stochastic Rankings in Group Decision Making | Collective Decisions: Theory, Algorithms And Decision Support Systems | Miłosz Kadziński Grzegorz Miebs Dariusz Grynia Roman Słowiński | 2022 |
Bayesian ordinal regression for multiple criteria choice and ranking | European Journal of Operational Research | Zice Ru Jiapeng Liu Miłosz Kadziński Xiuwu Liao | 2022/6/1 |
Co-Authors
