SIS PUT | dr hab. inż. Miłosz Kadziński

1.

Co-evolution improves the efficiency of preference learning methods when the Decision Maker's aspirations develop over time / Michał K. Tomczyk (WIiT), Miłosz Kadziński (WIiT) // W: GECCO '23 : Proceedings of the Genetic and Evolutionary Computation Conference, July 15-19, 2023, Lisbon, Portugal - New York, United States : Association for Computing Machinery (ACM), 2023 - p. 759-767

Chapter in monograph / paper 20 140
2.

Metaphor-based algorithms for learning the preference model parameters of FlowSort from large sets of assignment examples / Adam Handke (WIiT), Damian Jóźwiak (WIiT), Piotr Kamiński (WIiT), Michał Wiśniewski (WIiT), Miłosz Kadziński (WIiT) // W: GECCO '23 Companion : Proceedings of the Companion Conference on Genetic and Evolutionary Computation, July 15-19, 2023, Lisbon, Portugal - New York, United States : Association for Computing Machinery (ACM), 2023 - p. 283-286

Chapter in monograph / paper 20 140
3.

Aggregation of Stochastic Rankings in Group Decision Making / Miłosz Kadziński (WIiT), Grzegorz Miebs (WIiT), Dariusz Grynia (WIiT), Roman Słowiński // W: Collective Decisions: Theory, Algorithms And Decision Support Systems / red. Tomasz Szapiro, Janusz Kacprzyk - Cham, Switzerland : Springer, 2022 - p. 83-101

Chapter in monograph 20
4.

Meta-Rankings of Journals Publishing Multiple Criteria Decision Aiding Research: Benefit-of-Doubt Composite Indicators for Heterogeneous Qualitative Scales / Luis. C. Dias, Miłosz Kadziński (WIiT) // W: Intelligent Decision Support Systems : Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński / red. Salvatore Greco, Vincent Mousseau, Jerzy Stefanowski (WIiT), Constantin Zopounidis - Cham, Switzerland : Springer, 2022 - p. 245-268

Chapter in monograph 20
5.

Robust Ordinal Regression for Multiple Criteria Decision Aiding / Miłosz Kadziński (WIiT) // W: Intelligent Decision Support Systems : Combining Operations Research and Artificial Intelligence - Essays in Honor of Roman Słowiński / red. Salvatore Greco, Vincent Mousseau, Jerzy Stefanowski (WIiT), Constantin Zopounidis - Cham, Switzerland : Springer, 2022 - p. 185-205

Chapter in monograph 20

All CHAPTERS

1.

On the elicitation of indirect preferences in interactive evolutionary multiple objective optimization / Michał Tomczyk (WIiT), Miłosz Kadziński (WIiT) // r888_2020

Research report
2.

Decomposition-based co-evolutionary algorithm for interactive multiple objective optimization driven by pairwise comparisons. / Michał K. Tomczyk (WI), Miłosz Kadziński (WI) // r588_2019

Research report
3.

Compariosn of ranking for comprehensive resilience assessment of electricity supply security / Miłosz Kadziński (WI) // r261_2019

Research report
4.

Robust indicator-based algorithm for interactive evolutionary multiple objective optimization / Michał K. Tomczyk (WI), Miłosz Kadziński (WI) // r557093_2019

Research report
5.

Quantifying electricity supply resilience of 140 countries using robust efficiency analysis / Anna Labijak (WI), Miłosz Kadziński (WI) // r545491_2018

Research report

All REPORTS

1.

New Directions in Robustness Analysis and Preference Modeling in Multiple Criteria Decision Aiding / Miłosz Kadziński (WI) / prom. Roman Słowiński (WI), rev. Włodzimierz Ogryczak, Tadeusz Trzaskalik - Poznań, Polska, 2012 - 248 s.

Dissertation

1.

Computer-aided decision support methods resistant to imperfections of learning data / Grzegorz Miebs (WIiT) / prom. Miłosz Kadziński (WIiT), rev. Jarosław Wątróbski, Konrad Kułakowski, Bogumił Kamiński - Poznań, Polska, 2024 - 278 s.

Dissertation
2.

New Directions in Robust Data Envelopment Analysis / Anna Labijak-Kowalska (WIiT) / prom. Miłosz Kadziński (WIiT), rev. Elżbieta Kubińska, Konrad Kułakowski, Kesra Nermend - Poznań, Polska, 2023 - 322 s.

Dissertation
3.

Multiple Criteria Decision Analysis methods inspired by other sub-disciplines of artificial intelligence / Krzysztof Martyn (WIiT) / prom. Miłosz Kadziński (WIiT), rev. Ewa Roszkowska, Tomasz Wachowicz, Paweł Ziemba - Poznań, Polska, 2023 - 244 s.

Dissertation
4.

New Directions in Interactive Evolutionary Multiple Objective Optimization Based on Holistic Preference Information / Michał Tomczyk (WIiT) / prom. Miłosz Kadziński (WIiT), rev. Konrad Kułakowski, Bogumił Kamiński - Poznań, Polska, 2020 - 306 s.

Dissertation
5.

Advances in Preference Disaggregation and Post Factum Analysis with Multiple Criteria Additive Value Models / Krzysztof Jan Ciomek (WI) / prom. Miłosz Kadziński (WI), rev. Konrad Kułakowski, Tomasz Wachowicz - Poznań, Polska, 2020 - 244 s.

Dissertation