The ability to understand and explain the outcomes of data analysis methods, with regard to
aiding decision-making, has become a critical requirement for many applications. For …

Abstract Multiple Criteria Decision Analysis (MCDA) is a subfield of Operational Research
that aims to support Decision-Makers (DMs) in the decision-making process through …

The deterioration in profitability of listed companies not only threatens the interests of the
enterprise and internal staff, but also makes investors face significant financial loss. It is …

As a complicated cognitive process, multi-attribute decision-making usually focuses on the
decision-making issue of seeking the optimal alternative or ranking alternatives under the …

We formulate some questions that may help an analyst to choose a multicriteria decision
aiding method well adapted to the decision context. These questions take into account …

The development of better methods for the improvement of airline performance is crucial, but
this type of problem is difficult to solve because of the large number of complex factors …

Depleting natural resources and limited amount of landfill areas have forced many
governments to impose stricter measures on environmental performance. In order to comply …

We present a general rule induction algorithm based on sequential covering, suitable for
variable consistency rough set approaches. This algorithm, called VC-DomLEM, can be …

This paper presents Electre Tri-nC, a new sorting method which takes into account several
reference actions for characterizing each category. This new method gives a particular …

Multi-criteria decision analysis (MCDA) has been increasingly adopted to solve decision-
making problems involving multiple options and multiple criteria. These methods have been …