6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2019
A preference learning framework for multiple criteria sorting with diverse additive value models and valued assignment examples
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao +2
We present a preference learning framework for multiple criteria sorting. We consider sorting procedures applying an additive value model with diverse types of marginal value funct…
cs.LG2019★ 6 cited
Data-driven preference learning methods for value-driven multiple criteria sorting with interacting criteria
Jiapeng Liu, Milosz Kadzinski, Xiuwu Liao +1
The learning of predictive models for data-driven decision support has been a prevalent topic in many fields. However, construction of models that would capture interactions among…
cs.AI2019
Using a Segmenting Description approach in Multiple Criteria Decision Aiding
Milosz Kadzinski, Jan Badura, Jose Rui Figueira
We propose a new method for analyzing a set of parameters in a multiple criteria ranking method. Unlike the existing techniques, we do not use any optimization technique, instead i…