IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Minería de datos y lógica difusa.Una aplicación al estudio de la rentabilidad económica de las empresas agroalimentarias en Andalucía

  • Bárbara Díaz

    (Universidad de Málaga)

  • Antonio Morillas

    (Universidad de Málaga)

En este trabajo se estudia la rentabilidad de la empresa agroalimentaria en Andalucía (España)mediante un conjunto de ratios, elaborados por el Instituto de Estadística de Andalucía a partir de la Central de Balances de Actividades Empresariales de Andalucía. El objeto es encontrar las características contables de las empresas más rentables. Los aspectos metodológicos que se contemplan en la aplicación comprenden algunas técnicas estadísticas avanzadas y nuevos métodos de extracción de conocimiento en grandes bases de datos (knowledge discovery y data mining). Las conclusiones a que se llega, expresadas en forma de reglas difusas obtenidas de la base de datos mediante la “teoría computacional de la percepción” (Zadeh, 2001; Last, Klein y Kandel, 2001), parecen plenamente congruentes con los postulados del análisis financiero.Si la rotación de activos es baja, no hay altas rentabilidades. Por el contrario, una importante rotación del activo, acompañada por una aceptable situación de liquidez, es lo que caracteriza a las empresas más rentables.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
Download Restriction: no

Paper provided by EconWPA in its series GE, Growth, Math methods with number 0512003.

in new window

Length: 22 pages
Date of creation: 09 Dec 2005
Date of revision:
Handle: RePEc:wpa:wuwpge:0512003
Note: Type of Document - pdf; pages: 22
Contact details of provider: Web page:

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, December.
  2. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
  3. Allen N. Berger & David B. Humphrey, 1992. "Measurement and Efficiency Issues in Commercial Banking," NBER Chapters, in: Output Measurement in the Service Sectors, pages 245-300 National Bureau of Economic Research, Inc.
  4. Allen N. Berger & David B. Humphrey, 1990. "The dominance of inefficiencies over scale and product mix economies in banking," Finance and Economics Discussion Series 107, Board of Governors of the Federal Reserve System (U.S.).
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wpa:wuwpge:0512003. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (EconWPA)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.