Skip to main content

How Can Help an Inductive Approach in the Resolution of a Problematic α Problem?

  • Conference paper
  • First Online:
Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

Included in the following conference series:

  • 5087 Accesses

Abstract

Some organizations are commissioned to hoost every kind of innovation in favoring collaboration between small businesses and scientific circles. Our research aims at developing a decision-aid tool to help intermediate organizations in their search for innovative enterprises and at determining if these enterprises are receptive to collaboration with a university. Tins helping tool consists of a set of decision rules thanks to which the enterprises are selected. This set of rules was established with the rough set method. The problem we have to face comes under the problematic P.α and the originality of the paper is that we will show the impact of the choice of decision rules on the type I error and thus on the percentage of objects incorrectly classified.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Pawlak Z.: Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer Academic Publishers, Dordrecht/Boston/London, 1991.

    Google Scholar 

  2. Slowinsky R. (ed.): Intelligent Decision Support Handbook of Application and Advances of the Rough Sets Theory. Kluwer Academic Publishers, 1992.

    Google Scholar 

  3. B. Predki, Sz. Wilk,: Rough Set Based Data Exploration Using ROSE System, Foundations of Intelligent Systems, Lecture Notes in Artificial Intelligence, vol. 1609, Springer-Verlag, Berlin (1999), 172–180.

    Chapter  Google Scholar 

  4. B. Roy: Methodologie Multicritère d'Aide à la Décision, Economica, 1985.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2001 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Levecq, P., Meskens, N. (2001). How Can Help an Inductive Approach in the Resolution of a Problematic α Problem?. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_82

Download citation

  • DOI: https://doi.org/10.1007/3-540-45554-X_82

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics