This chapter provides the reader with a presentation of preference modelling fundamental
notions as well as some recent results in this field. Preference modelling is an inevitable …

We consider imprecise evaluation of alternatives in multiple criteria ranking problems. The
imprecise evaluations are represented by n-point intervals which are defined by the largest …

In this paper we show the relations between 4-valued logics (and more precisely the DDT
logic) and the use of bi-oriented graphs. Further on we focus on the use of bi-oriented …

The decision of choosing a facility location among possible alternatives can be understood
as a multi-criteria problem where the solution depends on the available knowledge and the …

We introduce two novel frameworks for choice under complete uncertainty. These
frameworks employ intervals to represent uncertain utility attaching to outcomes. In the first …

The maximization of an objective function is a cornerstone of OR/MS modeling. How can we
integrate subjective values within these models without weakening their scientific …

An interval set is a family of sets restricted by a upper bound and lower bound. Interval-set
algebras are concrete models of granular computing. The triarchic theory of granular …

In decision analysis, and especially in multiple criteria decision analysis, several non
additive integrals have been introduced in the last years. These include the Choquet …

Cet article traite d'opérateurs de révision des croyances qui conduisent à des situations
totalement informées. Ce type de situation peut être représenté dans le cadre de révision de …

Robust Ordinal Regression (ROR) is a way of dealing with Multiple Criteria Decision Aiding
(MCDA), by considering all sets of parameters of an assumed preference model, that are …