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

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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
ISBN (Electronic)978-3-030-48641-9
ISBN (Print)978-3-030-48640-2
Publication statusPublished - 13 May 2020
Event20th International Conference on Group Decision and Negotiation - Toronto, Canada
Duration: 7 Jun 202011 Jun 2020

Publication series

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


Conference20th International Conference on Group Decision and Negotiation
Internet address


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


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