Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints
This data article describes the analysis of 56 MCDA (Multi-Criteria Decision Analysis) methods in regards to 9 decision-making problem characteristics structured into 3 levels. The impact of uncertainty in decision-making problem description on MCDA method selection is studied. 450,000 possible desc...
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doaj-47de927cde8c4cc0a5b0980d745fcc9b2020-11-25T01:49:34ZengElsevierData in Brief2352-34092019-02-0122639642Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprintsJarosław Wątróbski0Jarosław Jankowski1Paweł Ziemba2Artur Karczmarczyk3Magdalena Zioło4Faculty of Economics and Management, University of Szczecin, Mickiewicza 64, 71-101, Szczecin, Poland; Corresponding author.Faculty of Computer Science and Information Systems, West Pomeranian University of Technology, Zolnierska 49, 71-210 Szczecin, PolandFaculty of Economics and Management, University of Szczecin, Mickiewicza 64, 71-101, Szczecin, PolandFaculty of Computer Science and Information Systems, West Pomeranian University of Technology, Zolnierska 49, 71-210 Szczecin, PolandFaculty of Economics and Management, University of Szczecin, Mickiewicza 64, 71-101, Szczecin, PolandThis data article describes the analysis of 56 MCDA (Multi-Criteria Decision Analysis) methods in regards to 9 decision-making problem characteristics structured into 3 levels. The impact of uncertainty in decision-making problem description on MCDA method selection is studied. 450,000 possible descriptions of a decision problem were studied, resulting in sets of rules which can serve as input to uncertainty-aware MCDA method selection decision support systems. Comprehensive analyses of the obtained rule sets are provided. An exemplary decision support system based on the presented data was created and is available at http://www.mcda.it. Moreover the technical documentation needed to create and expand such system is provided in this data article. The data and system can be easily extended and the authors invite all researchers to contribute.http://www.sciencedirect.com/science/article/pii/S2352340918315543 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jarosław Wątróbski Jarosław Jankowski Paweł Ziemba Artur Karczmarczyk Magdalena Zioło |
spellingShingle |
Jarosław Wątróbski Jarosław Jankowski Paweł Ziemba Artur Karczmarczyk Magdalena Zioło Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints Data in Brief |
author_facet |
Jarosław Wątróbski Jarosław Jankowski Paweł Ziemba Artur Karczmarczyk Magdalena Zioło |
author_sort |
Jarosław Wątróbski |
title |
Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints |
title_short |
Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints |
title_full |
Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints |
title_fullStr |
Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints |
title_full_unstemmed |
Generalised framework for multi-criteria method selection: Rule set database and exemplary decision support system implementation blueprints |
title_sort |
generalised framework for multi-criteria method selection: rule set database and exemplary decision support system implementation blueprints |
publisher |
Elsevier |
series |
Data in Brief |
issn |
2352-3409 |
publishDate |
2019-02-01 |
description |
This data article describes the analysis of 56 MCDA (Multi-Criteria Decision Analysis) methods in regards to 9 decision-making problem characteristics structured into 3 levels. The impact of uncertainty in decision-making problem description on MCDA method selection is studied. 450,000 possible descriptions of a decision problem were studied, resulting in sets of rules which can serve as input to uncertainty-aware MCDA method selection decision support systems. Comprehensive analyses of the obtained rule sets are provided. An exemplary decision support system based on the presented data was created and is available at http://www.mcda.it. Moreover the technical documentation needed to create and expand such system is provided in this data article. The data and system can be easily extended and the authors invite all researchers to contribute. |
url |
http://www.sciencedirect.com/science/article/pii/S2352340918315543 |
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