Multi-criteria decision analysis (MCDA) is a valuable resource within operations research
and management science. Various MCDA methods have been developed over the years …

We present main characteristics of electre (ELimination Et Choix Traduisant la REalité‐
ELimination and Choice Expressing the REality) family methods, designed for multiple …

The paper presents the author's partial and personal historical reconstruction of how
decision theory is evolving to a decision aiding methodology. The presentation shows …

We present main characteristics of ELECTRE family methods, designed for multiple criteria
decision aiding. These methods use as a preference model an outranking relation in the set …

In the literature on MCDM, many methods have been proposed in order to sort alternatives
evaluated on several attributes into ordered categories. Most of them were proposed on an …

A number of recent papers have investigated the foundations of methods allowing to sort
multi-attributed alternatives between several ordered categories. This paper has a similar …

Learning the parameters of a Majority Rule Sorting model (MR-Sort) through linear
programming requires to use binary variables. In the context of preference learning where …

We consider the problem of learning a function assigning objects into ordered categories.
The objects are described by a vector of attribute values and the assignment function is …

Electre is an important outranking method developed in the area of decision-aiding. Data
mining is a vital developing technique that receives contributions from lots of disciplines …

This paper aims at introducing and investigating a new family of merely qualitative models
for multicriteria decision making. Such models do not require any numerical representation …