4 citations · 6 across the 4 of their papers we have counts for
4 papers
From Validator Selection to Portfolio Collection Optimization in Proof-of-Stake Blockchains
Jonas Gehrlein, Grzegorz Miebs, Matteo Brunelli +2
We consider a problem arising in proof-of-stake blockchain environments, where agents called nominators select validators - entities responsible for maintaining the blockchain's ph…
Data-driven Preference Learning Methods for Sorting Problems with Multiple Temporal Criteria
Yijun Li, Mengzhuo Guo, Miłosz Kadziński +1
The advent of predictive methodologies has catalyzed the emergence of data-driven decision support across various domains. However, developing models capable of effectively handlin…
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
We consider preference disaggregation in the context of multiple criteria sorting. The value function parameters and thresholds separating the classes are inferred from the Decisio…
Recommending Multiple Criteria Decision Analysis Methods with A New Taxonomy-based Decision Support System
Marco Cinelli, Miłosz Kadziński, Grzegorz Miebs +2
We present the Multiple Criteria Decision Analysis Methods Selection Software (MCDA-MSS). This decision support system helps analysts answering a recurring question in decision sci…