Show simple item record 2016-12-21T12:07:01Z 2016-12-21T12:07:01Z
dc.title An application of OWA operators in fuzzy business diagnosis en
dc.type Artículo es
dcterms.abstract The paper aims to develop an adjustment index based on OWA operators to enrich the results of diagnostic fuzzy models of business failure. A proposal to verify the diseases prediction accuracy of the models is also added. This allows a reduction of the map of causes or diseases detected in strategic defined areas. At the same time, these key areas can be disaggregated when an alert indicator is identified, and shows which of the causes need special attention. This application of OWA can encourage the development of suitable computer systems for monitoring companies’ problems, warn of failures and facilitate decision-making. In addition, taking Vigier and Terceno’s ˜ 2008 model as a benchmark, causes aggregation operators are introduced to evaluate alternative groupings, and the adjustment measure using approximate solutions is proposed to test the model’s prediction. The empirical estimation and the verification of the improvement proposals in a set of small and medium- sized enterprises (SMEs) in the construction industry are also presented. The functionality and the prediction capacity are thus measured and detected by monitoring key areas that warn about insolvency situations in the firm en
dcterms.extent 9 p. es
dcterms.issued 2016-06-20
dcterms.language Inglés es
dcterms.license Attribution-NonCommercial-NoDerivatives 4.0 International (BY-NC-ND 4.0) es
dcterms.subject Economic-financial diagnosis en
dcterms.subject Forecast en
dcterms.subject Symptoms en
dcterms.subject Causes en
dcterms.subject Fuzzy relations en
dcterms.subject Business failure en
dcterms.subject OWA operators en
cic.version info:eu-repo/semantics/submittedVersion es Vigier, Hernán Pedro es Scherger, Valeria es Terceño, Antonio es
cic.lugarDesarrollo Centro de Emprendedorismo y Desarrollo Territorial Sustentable es
dcterms.subject.materia Economía y Negocios es
dcterms.identifier.url Documento completo es
dcterms.identifier.other es
dcterms.isPartOf.issue Vol. 51 (junio) es
dcterms.isPartOf.series Applied Soft Computing es
cic.isPeerReviewed true es
cic.isFulltext true es


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