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Doctoral school student

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Scientific discipline (Law 2.0)

1.

An active preference learning approach to aid the selection of validators in blockchain environments / Jonas Gehrlein, Grzegorz Miebs (WIiT), Matteo Brunelli, Miłosz Kadziński (WIiT) // Omega - 2023, vol. 118

Scientific article 140.0 8.673
2.

Predicting a time-dependent quantity using Recursive Generative Query Network / Grzegorz Miebs (WIiT), Michał Wójcik (WIiT), Adam Karaszewski, Małgorzata Mochol-Grzelak, Paulina Wawdysz, Rafał A. Bachorz // International Journal of Neural Systems - 2022, vol. 32, no. 11

Scientific article 140.0 6.325
3.

Multi-criteria human resources planning optimisation using genetic algorithms enhanced with MCDA / Marcin Jurczak, Grzegorz Miebs (WIiT), Rafał A. Bachorz // Operations Research and Decisions - 2022, vol. 32, no. 4, p. 57-74

Scientific article 70.0
4.

Recommending multiple criteria decision analysis methods with a new taxonomy-based decision support system / Marco Cinelli (WIiT), Miłosz Kadziński (WIiT), Grzegorz Miebs (WIiT), Michael Gonzalez, Roman Słowiński (WIiT) // European Journal of Operational Research - 2022, vol. 302, no. 2, p. 633-651

Scientific article 140.0 6.363
5.

Heuristic algorithms for aggregation of incomplete rankings in multiple criteria group decision making / Grzegorz Miebs (WIiT), Miłosz Kadziński (WIiT) // Information Sciences - 2021, vol. 560, p. 107-136

Scientific article 200.0 8.233

1.

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 20.0