A methodology to support group multicriteria classification

Salem Chakhar, I. Saad

    Research output: Working paper

    70 Downloads (Pure)

    Abstract

    The paper proposes a two-phase methodology to support groups in multicriteria classification problems. The first phase, which relies on dominance-based rough set approach, takes as input a set of assignment examples, and generates as output a set of collective decision rules representing a generalized description of the preference information of the decision makers. The second phase then applies these collective decision rules to classify all the decision objects. The methodology uses “if · · · then · · · ” aggregation rules that coherently implement the majority principle and veto effect and hence permit to obtain consensual decisions. Further more, the contribution of each decision maker in the collective decision is objectively measured by the quality of individual classification conduced by this decision maker during the first phase of the methodology. The methodology has been validated through the development of a prototype and applied to a nuclear risk management decision problem.
    Original languageEnglish
    Place of PublicationFrance
    PublisherLaboratoire Modelisation Information Systemes
    Number of pages28
    Publication statusPublished - 2011

    Fingerprint

    Dive into the research topics of 'A methodology to support group multicriteria classification'. Together they form a unique fingerprint.

    Cite this