Skip to main content

A Rule-Based Method to Aggregate Criteria with Different Relevance

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2715))

Abstract

Multiple Criteria Decision Making requires that different relevance assigned to criteria be considered. Most approaches introduced in literature are dependent upon an aggregation model. We propose a rule based approach that is independent of the aggregation model and highlights the uncertainty deriving from the decision maker confidence on the adopted criteria.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. D. Dubois and H. Prade. Criteria aggregation and ranking of alternatives in the framework of fuzzy set theory. TIMS/Studies in the Management Sciences, (20):209–240, 1984.

    MathSciNet  Google Scholar 

  2. D. Dubois and H. Prade. A review of fuzzy sets aggregation connectives. Information Sciences, (36):85–121, 1985.

    Article  MATH  MathSciNet  Google Scholar 

  3. D. Dubois and H. Prade. Weighted minimum and maximum operations in fuzzy set theory. Information Sciences, (39):205–210, 1986.

    Article  MATH  MathSciNet  Google Scholar 

  4. D. Dubois and H. Prade. What are fuzzy rules and how to use them. Fuzzy Sets and Systems, 84(2):169–189, 1996.

    Article  MATH  MathSciNet  Google Scholar 

  5. J. Fodor and M. Roubens. Aggregation and scoring procedures in multicriteria decision-making methods. In Proceedings of the IEEE International Conference on Fuzzy Systems, pages 1261–1267, San Diego, 1992.

    Google Scholar 

  6. J. Fodor and M. Roubens. Fuzzy Preference Modelling and Multi-Criteria Decision Support, volume 14 of D. Kluwer, Dordrect.

    Google Scholar 

  7. E. Sanchez. Importance in knowledge systems. Information Systems, (14):455–464, 1989.

    Article  Google Scholar 

  8. M. Sugeno and T. Takagi. A new approach to design of fuzzy controllers, pages 325–334. Plenum Press, New York, wang, p. p. edition, 1983.

    Google Scholar 

  9. V. Torra. The weighted owa operator. Int. J. of Intel. Systems, (12):153–166, 1997.

    Article  MATH  Google Scholar 

  10. R. Yager. Multiple objective decision making using fuzzy sets. Int. J. of Man-Machine Studies, (9):375–382, 1977.

    Article  MATH  Google Scholar 

  11. R. Yager. On ordered weighted averaging aggregation operators in multi-criteria decision making. IEEE Trans. on Systems, Man, and Cybernetics, 18(1):183–190, 1988.

    Article  MATH  MathSciNet  Google Scholar 

  12. R. Yager. On the inclusion of importances in multi-criteria decision making in the fuzzy set framework. Int. J. of Expert Systems: Research and Application, (5):211–228, 1992.

    Google Scholar 

  13. R. Yager. On weighted median aggregation. Int. J. of Uncertainty, Fuziness and Knowledge-based Systems, (1):101–113, 1994.

    Article  Google Scholar 

  14. R. Yager. Criteria importances in owa aggregation: An application of fuzzy modelling. In Proc. FUZZ-IEEE 1997, volume III, pages 1677–1682. IEEE, 1997.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Canfora, G., Troiano, L. (2003). A Rule-Based Method to Aggregate Criteria with Different Relevance. In: Bilgiç, T., De Baets, B., Kaynak, O. (eds) Fuzzy Sets and Systems — IFSA 2003. IFSA 2003. Lecture Notes in Computer Science, vol 2715. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44967-1_37

Download citation

  • DOI: https://doi.org/10.1007/3-540-44967-1_37

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40383-8

  • Online ISBN: 978-3-540-44967-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics