Decision rule aggregation approach to support group decision making

Ines Saad*, Salem Chakhar

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    57 Downloads (Pure)

    Abstract

    The Dominance-based Rough Set Approach (DRSA) is an innovative preference learning approach. It takes as input a set of objects (learning set) described with respect to a collection of condition and decision attributes. It generates a set of if-then decision rules. Initial versions of dominance based rough set approximation methods assume a single decision maker. Furthermore, the proposed extensions to group decision making mainly use an input oriented aggregation strategy, which requires a high level of agreement between the decision makers. In this paper, we propose an output oriented aggregation strategy to coherently combine different sets of decision rules obtained from different decision makers. The proposed aggregation algorithm is illustrated by using real-world data relative to a business school admission where two decision makers are involved. Results show that aggregation algorithm is able to reproduce the individual assignments of students with a very limited preferential information loss.
    Original languageEnglish
    Title of host publicationGroup Decision and Negotiation: A Multidisciplinary Perspective
    Subtitle of host publication20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, ON, Canada, June 7–11, 2020, Proceedings
    EditorsDanielle Costa Morais, Liping Fang, Masahide Horita
    Place of PublicationCham
    PublisherSpringer
    Chapter12
    Pages163-176
    ISBN (Electronic)978-3-030-48641-9
    ISBN (Print)978-3-030-48640-2
    DOIs
    Publication statusPublished - 13 May 2020
    Event20th International Conference on Group Decision and Negotiation - Toronto, Canada
    Duration: 7 Jun 202011 Jun 2020
    http://gdnconference.org/gdn2020/

    Publication series

    NameLecture Notes in Business Information Processing
    PublisherSpringer
    Volume388
    ISSN (Print)1865-1348
    ISSN (Electronic)1865-1356

    Conference

    Conference20th International Conference on Group Decision and Negotiation
    Country/TerritoryCanada
    CityToronto
    Period7/06/2011/06/20
    Internet address

    Keywords

    • Rough set approximation
    • Decision rule
    • Group decision making
    • Rules aggregation
    • Output aggregation strategy

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