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dc.contributor.authorEl-Gibari-Ben-Said, Samira 
dc.contributor.authorCabello-González, José Manuel 
dc.contributor.authorGómez-Núñez, Trinidad 
dc.contributor.authorRuiz-de-la-Rúa, Francisco 
dc.date.accessioned2024-06-24T11:56:54Z
dc.date.available2024-06-24T11:56:54Z
dc.date.issued2021-04-14
dc.identifier.citationEl 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.urihttps://hdl.handle.net/10630/31709
dc.descriptionPolítica de cceso abierto tomada de: https://v2.sherpa.ac.uk/id/publication/9692?template=romeoes_ES
dc.description.abstractComposite 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.sponsorshipThe 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.language.isoenges_ES
dc.publisherWorld Scientific Publishinges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectNúmeros índice (Economía)es_ES
dc.subjectToma de decisiones multicriterioes_ES
dc.subject.otherComposite indicatorses_ES
dc.subject.otherCompensatory and non-compensatory indicatorses_ES
dc.subject.otherMultiple criteria decision makinges_ES
dc.titleComposite Indicators as Decision Making Tools: The Joint Use of Compensatory and Noncompensatory Schemes.es_ES
dc.typejournal articlees_ES
dc.centroFacultad de Ciencias Económicas y Empresarialeses_ES
dc.identifier.doi10.1142/S0219622021500231
dc.type.hasVersionSMURes_ES
dc.departamentoEconomía Aplicada (Matemáticas)
dc.rights.accessRightsopen accesses_ES


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