scispace - formally typeset
J

Jean-Claude Vansnick

Researcher at University of Mons-Hainaut

Publications -  35
Citations -  3104

Jean-Claude Vansnick is an academic researcher from University of Mons-Hainaut. The author has contributed to research in topics: Preference & Categorical variable. The author has an hindex of 21, co-authored 35 publications receiving 2921 citations. Previous affiliations of Jean-Claude Vansnick include University of Mons & University of Paris.

Papers
More filters
Journal ArticleDOI

MACBETH — An Interactive Path Towards the Construction of Cardinal Value Functions

TL;DR: The MACBETH approach proposes a simple questioning procedure to ‘drive’ the interactive quantification of values through pairwise verbal judgements of difference of attractiveness between valuable elements of a set A.
Journal ArticleDOI

A critical analysis of the eigenvalue method used to derive priorities in AHP

TL;DR: The meaning of the priority vector derived from the principal eigenvalue method used in AHP is addressed, and the role of AHP’s consistency ratio is analysed.
Journal ArticleDOI

Decision Support Systems in action: Integrated application in a multicriteria decision aid process

TL;DR: A real application of Multi-Criteria Decision Analysis (MCDA) in which several Decision Support Systems were harmoniously integrated in the interactive learning process of tackling the complex strategic problematic situation faced by the Santa Catarina textile industry, in the south of Brazil is described.
Journal ArticleDOI

Applications of the MACBETH Approach in the Framework of an Additive Aggregation Model

TL;DR: The usefulness of MACBETH as a tool to facilitate decision support is illustrated by describing its application in two real public decision situations where the authors acted as facilitators, and how the approach can serve as a weighting procedure to determine the scaling constants of an additive aggregation model.
Book ChapterDOI

The MACBETH Approach: Basic Ideas, Software, and an Application

TL;DR: The aim of this paper is to present the main ideas on which this new decision-aid approach is based, and its software, which has already been applied in several complex cases.