Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
481932 | European Journal of Operational Research | 2007 | 10 Pages |
Abstract
Most of the existing multiple criteria decision-making methods handle one kind of the information imperfections at the same time. Stochastic methods and fuzzy methods constitute typical examples of these methods. However, several multiple criteria modelizations include simultaneously many kinds of the information imperfections. In this work, we propose a multiple criteria aggregation procedure which accepts mixed evaluations, i.e. evaluations which contain different natures of imperfections. It is based on an adaptation of the stochastic dominance results.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Sarah Ben Amor, Khaled Jabeur, Jean-Marc Martel,