In contrast to the stable development of the traditional face to face teaching, distance
education has become a considerable portion in higher education today and it is still rapidly …

Within the multicriteria aggregation–disaggregation framework, ordinal regression aims at
inducing the parameters of a decision model, for example those of a utility function, which …

Choquet integral has proved to be an effective aggregation model in multiple criteria
decision analysis when interactions between criteria have to be taken into consideration …

Nonadditive robust ordinal regression (NAROR) is a widely adopted approach to analyze
and reveal the dominance relationships among all decision alternatives based on …

The paper deals with two important issues of Multiple Criteria Decision Aiding: interaction
between criteria and hierarchical structure of criteria. To handle interactions, we apply the …

Preference learning has been widely employed to predict decision-makers' preferences from
historical information. This study develops a preference learning model for multiple criteria …

We consider multiple criteria decision aiding in the case of interaction between criteria. In
this case the usual weighted sum cannot be used to aggregate evaluations on different …

The optimal selection, ranking and classification of objects are important aspects in the multi-
criteria decision-making (MCDM) problem. In this paper, we try to propose a three-way …

A great majority of methods designed for Multiple Criteria Decision Aiding (MCDA) assume
that all evaluation criteria are considered at the same level, however, it is often the case that …

Robust Ordinal Regression (ROR) supports Multiple Criteria Decision Process by
considering all sets of parameters of an assumed preference model, that are compatible with …