Composite Indicators as Decision Making Tools: The Joint Use of Compensatory and Noncompensatory Schemes.
| dc.centro | Facultad de Ciencias Económicas y Empresariales | es_ES |
| dc.contributor.author | El-Gibari-Ben-Said, Samira | |
| dc.contributor.author | Cabello-González, José Manuel | |
| dc.contributor.author | Gómez-Núñez, Trinidad | |
| dc.contributor.author | Ruiz-de-la-Rúa, Francisco | |
| dc.date.accessioned | 2024-06-24T11:56:54Z | |
| dc.date.available | 2024-06-24T11:56:54Z | |
| dc.date.issued | 2021-04-14 | |
| dc.departamento | Economía Aplicada (Matemáticas) | |
| dc.description | Política de cceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/9692?template=romeo | es_ES |
| dc.description.abstract | Composite indicators are powerful tools for summarizing, focusing and condensing the complexity of our dynamic environment, and their use has become indispensable for managing huge amounts of information. An important aspect to emphasize when constructing composite indicators is the compensatory character among the individual indicators. In general, a fully compensatory scheme provides an overall assessment of the performance of each unit, while a non-compensatory scheme detects the worst single performances. When used in a decision making framework, the joint consideration of both schemes may, therefore, be helpful. Nevertheless, in the literature, few approaches allow the construction of composite indicators for different compensation degrees. On these premises, the aim of this paper is to illustrate the behavior of some methodologies that build composite indicators allowing different compensation degrees. We analyze the results provided by each of these methods and which of them provide a more varied complementary information when considering both compensatory and non-compensatory scenarios. An illustrative example is used to visualize the results. | es_ES |
| dc.description.sponsorship | The authors would like to thank the financial support received from the Spanish Ministry of Science and Innovation (Project PID2019-104263RB-C42), from the Regional Government of Andalucía (research group SEJ-417), and from the FEDER-UMA Project UMA18-FEDERJA-065. | es_ES |
| dc.identifier.citation | El Gibari, S., Cabello, J. M., Gómez, T., & Ruiz, F., (2021). Composite Indicators as Decision Making Tools: The Joint Use of Compensatory and Noncompensatory Schemes. International Journal of Information Technology & Decision Making, 20(3), 847-879. | es_ES |
| dc.identifier.doi | 10.1142/S0219622021500231 | |
| dc.identifier.uri | https://hdl.handle.net/10630/31709 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | World Scientific Publishing | es_ES |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessRights | open access | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Números índice (Economía) | es_ES |
| dc.subject | Toma de decisiones multicriterio | es_ES |
| dc.subject.other | Composite indicators | es_ES |
| dc.subject.other | Compensatory and non-compensatory indicators | es_ES |
| dc.subject.other | Multiple criteria decision making | es_ES |
| dc.title | Composite Indicators as Decision Making Tools: The Joint Use of Compensatory and Noncompensatory Schemes. | es_ES |
| dc.type | journal article | es_ES |
| dc.type.hasVersion | SMUR | es_ES |
| dspace.entity.type | Publication | |
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| relation.isAuthorOfPublication | 92c5c064-1187-4a19-a3af-b92f7baace0b | |
| relation.isAuthorOfPublication.latestForDiscovery | e5a450d1-186c-4fb5-9e2e-b7d5aa9242bf |
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