La metodología de los Rough Sets como técnica de preprocesamiento de datosUna aplicación a las quiebras de microempresas familiares

  1. Vázquez Cueto, M. J. 1
  2. Irimia Diéguez, A. I. 1
  3. Blanco Oliver, A. J. 1
  1. 1 Universidad de Sevilla
    info

    Universidad de Sevilla

    Sevilla, España

    ROR https://ror.org/03yxnpp24

Journal:
Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

ISSN: 1575-605X

Year of publication: 2015

Volume: 16

Issue: 1

Pages: 1-12

Type: Article

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More publications in: Rect@: Revista Electrónica de Comunicaciones y Trabajos de ASEPUMA

Abstract

Micro enterprises (MEs) represent over 75 % of all enterprises in the EU, accounting for over 30 % of employment. However, since the onset of the economic crisis in 2008, this business segment has suffered high rates of bankruptcies and business closures, destroying many jobs. The construction of models that anticipate insolvency to allow sufficient time to take appropriate action is important to avoid bankruptcy of the MEs. However, it is difficult to obtain complete and relevant information for MEs, making it very difficult to be a good fit of the models for predicting corporate failure for this size of company. Applying Rough Sets technique as a method for pre - processing of the data, in the present study, we order the variables that best discriminate between solvent / insolvent in order to increase efficiency in predicting insolvency MEs. Additionally, we provide an application of the technique to family- MEs. Throughout this process, our results highlight the importance of considering non-financial variables to predict insolvency of MEs.

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