Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Multiple proportion case-basing driven CBRE and its application in the evaluation of possible failure of firms
Year:2013
Research Areas
  • Engineering,
  • Electronic technology and of the communications,
  • Information technology and adata processing
Information
Abstract
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.
International
Si
JCR
Si
Title
International Journal of Systems Science
ISBN
0020-7721
Impact factor JCR
1,305
Impact info
Volume
4
10.1080/00207721.2012.659686
Journal number
8
From page
1409
To page
1425
Month
SIN MES
Ranking
Participants
  • 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)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Automatización en Señal y Comunicaciones (GASC)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)