We propose a framework for descriptively analyzing sets of partial orders based on the
concept of depth functions. Despite intensive studies of depth functions in linear and metric …

We introduce three different approaches for decision making under uncertainty, if (I) there is
only partial (both cardinal and ordinal) information on an agent's preferences and (II) the …

In this paper we propose efficient methods for elicitation of complexly structured preferences
and utilize these in problems of decision making under (severe) uncertainty. Based on the …

We propose a framework for descriptively analyzing sets of partial orders based on the
concept of depth functions. Despite intensive studies in linear and metric spaces, there is …

This paper is concerned with decision making using imprecise probabilities and looks at
extensions and aspects of the criterion of E-admissibility, as introduced by Levi and …

This habilitation thesis is cumulative and, therefore, is collecting and connecting research
that I (together with several co-authors) have conducted over the last few years. Thus, the …

“It is often said that mathematics is a language. If so, group theory provides the proper
vocabulary for discussing symmetry. In the same way, lattice theory provides the proper …

In this paper we develop a descriptive concept of a (partially) ordinal joint scaling of items
and persons in the context of (dichotomous) item response analysis. The developed method …