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 language | English |
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Title of host publication | Group Decision and Negotiation: A Multidisciplinary Perspective |
Subtitle of host publication | 20th International Conference on Group Decision and Negotiation, GDN 2020, Toronto, ON, Canada, June 7–11, 2020, Proceedings |
Editors | Danielle Costa Morais, Liping Fang, Masahide Horita |
Place of Publication | Cham |
Publisher | Springer |
Chapter | 12 |
Pages | 163-176 |
ISBN (Electronic) | 978-3-030-48641-9 |
ISBN (Print) | 978-3-030-48640-2 |
DOIs | |
Publication status | Published - 13 May 2020 |
Event | 20th International Conference on Group Decision and Negotiation - Toronto, Canada Duration: 7 Jun 2020 → 11 Jun 2020 http://gdnconference.org/gdn2020/ |
Publication series
Name | Lecture Notes in Business Information Processing |
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Publisher | Springer |
Volume | 388 |
ISSN (Print) | 1865-1348 |
ISSN (Electronic) | 1865-1356 |
Conference
Conference | 20th International Conference on Group Decision and Negotiation |
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Country/Territory | Canada |
City | Toronto |
Period | 7/06/20 → 11/06/20 |
Internet address |
Keywords
- Rough set approximation
- Decision rule
- Group decision making
- Rules aggregation
- Output aggregation strategy