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Pattern recognition for evaluator errors in a credit scoring model for technology-based SMEs / Sohn, S. Y. in Journal of the operational research society (JORS), Vol. 63 N° 8 (Août 2012) 

Public ISBD [article]  in Journal of the operational research society (JORS) > Vol. 63 N° 8 (Août 2012) . - pp. 1051–1064 Titre : Pattern recognition for evaluator errors in a credit scoring model for technology-based SMEs Type de document : texte imprimé Auteurs : Sohn, S. Y., Auteur ; M. K. Doo, Auteur ; Y. H. Ju, Auteur Année de publication : 2012 Article en page(s) : pp. 1051–1064 Note générale : Operational research Langues : Anglais (eng) Mots-clés : Credit  scoring  model  for  technology-based  SMEs  Evaluator  effect  Decision  tree  Small  and  medium  enterprise  (SME) Index. décimale : 001.424 Résumé : A credit scoring model for technology-based small and medium enterprises presupposes evaluator objectivity and evaluation consistency; however, there is always some amount of error in any technology evaluation. This can be due in part to the subjective evaluation attributes that comprise part of the credit scoring model. The evaluated values of subjective attributes can vary among evaluators. In this study, we identified the significant characteristics of both evaluator and evaluation teams in terms of evaluation error using a decision tree analysis. Our results can improve the accuracy of a wide range of evaluation procedures for technology financing. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n8/abs/jors2011105a.html [article] Pattern recognition for evaluator errors in a credit scoring model for technology-based SMEs [texte imprimé] / Sohn, S. Y., Auteur ; M. K. Doo, Auteur ; Y. H. Ju, Auteur . - 2012 . - pp. 1051–1064. Operational research Langues : Anglais (eng) in Journal of the operational research society (JORS) > Vol. 63 N° 8 (Août 2012) . - pp. 1051–1064 Mots-clés : Credit  scoring  model  for  technology-based  SMEs  Evaluator  effect  Decision  tree  Small  and  medium  enterprise  (SME) Index. décimale : 001.424 Résumé : A credit scoring model for technology-based small and medium enterprises presupposes evaluator objectivity and evaluation consistency; however, there is always some amount of error in any technology evaluation. This can be due in part to the subjective evaluation attributes that comprise part of the credit scoring model. The evaluated values of subjective attributes can vary among evaluators. In this study, we identified the significant characteristics of both evaluator and evaluation teams in terms of evaluation error using a decision tree analysis. Our results can improve the accuracy of a wide range of evaluation procedures for technology financing. DEWEY : 001.424 ISSN : 0160-5682 En ligne : http://www.palgrave-journals.com/jors/journal/v63/n8/abs/jors2011105a.html