Cargando…
Decision Rule Aggregation Approach to Support Group Decision Making
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 base...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215197/ http://dx.doi.org/10.1007/978-3-030-48641-9_12 |
_version_ | 1783532130580561920 |
---|---|
author | Saad, Inès Chakhar, Salem |
author_facet | Saad, Inès Chakhar, Salem |
author_sort | Saad, Inès |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7215197 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-72151972020-05-12 Decision Rule Aggregation Approach to Support Group Decision Making Saad, Inès Chakhar, Salem Group Decision and Negotiation: A Multidisciplinary Perspective Article 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. 2020-04-25 /pmc/articles/PMC7215197/ http://dx.doi.org/10.1007/978-3-030-48641-9_12 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Saad, Inès Chakhar, Salem Decision Rule Aggregation Approach to Support Group Decision Making |
title | Decision Rule Aggregation Approach to Support Group Decision Making |
title_full | Decision Rule Aggregation Approach to Support Group Decision Making |
title_fullStr | Decision Rule Aggregation Approach to Support Group Decision Making |
title_full_unstemmed | Decision Rule Aggregation Approach to Support Group Decision Making |
title_short | Decision Rule Aggregation Approach to Support Group Decision Making |
title_sort | decision rule aggregation approach to support group decision making |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7215197/ http://dx.doi.org/10.1007/978-3-030-48641-9_12 |
work_keys_str_mv | AT saadines decisionruleaggregationapproachtosupportgroupdecisionmaking AT chakharsalem decisionruleaggregationapproachtosupportgroupdecisionmaking |