Memorias de investigación
Artículos en revistas:
Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms
Año:2013
Áreas de investigación
  • Ingenierías,
  • Tecnología electrónica y de las comunicaciones,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Case-based reasoning (CBR) is a unique tool for the evaluation of possible failure of firms (EOPFOF) for its eases of interpretation and implementation. Ensemble computing, a variation of group decision in society, provides a potential means of improving predictive performance of CBR-based EOPFOF. This research aims to integrate bagging and proportion case-basing with CBR to generate a method of proportion bagging CBR for EOPFOF. Diverse multiple case bases are first produced by multiple case-basing, in which a volume parameter is introduced to control the size of each case base. Then, the classic case retrieval algorithm is implemented to generate diverse member CBR predictors. Majority voting, the most frequently used mechanism in ensemble computing, is finally used to aggregate outputs of member CBR predictors in order to produce final prediction of the CBR ensemble. In an empirical experiment, we statistically validated the results of the CBR ensemble from multiple case bases by comparing them with those of multivariate discriminant analysis, logistic regression, classic CBR, the best member CBR predictor and bagging CBR ensemble. The results from Chinese EOPFOF prior to 3 years indicate that the new CBR ensemble, which significantly improved CBR's predictive ability, outperformed all the comparative methods.
Internacional
Si
JCR del ISI
Si
Título de la revista
International Journal of Systems Science
ISSN
0020-7721
Factor de impacto JCR
1,305
Información de impacto
Volumen
4
DOI
10.1080/00207721.2012.659686
Número de revista
8
Desde la página
1409
Hasta la página
1425
Mes
SIN MES
Ranking
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Participantes
  • Autor: Hui Li School of Economics and Management, Zhejiang Normal University
  • Autor: Diego Andina De la Fuente UPM
  • Autor: Jie Sun School of Economics and Management, Zhejiang Normal University
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones