Skip to main content

Abstract

A class of extended aggregation operators, called impact functions, is proposed and their basic properties are examined. Some important classes of functions like generalized ordered weighted averaging (OWA) and ordered weighted maximum (OWMax) operators are considered. The general idea is illustrated by the Producer Assessment Problem which includes the scientometric problem of rating scientists basing on the number of citations received by their publications. An interesting characterization of the well known h-index is given.

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. Arrow, K.J.: A difficulty in the concept of social welfare. Journal of Political Economy 58(4), 328–346 (1950)

    Article  Google Scholar 

  2. Benjamini, Y., Hochberg, Y.: Controlling false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society. Series B 57(1), 289–300 (1995)

    MathSciNet  MATH  Google Scholar 

  3. Calvo, T., Kolesarova, A., Komornikova, M., Mesiar, R.: Aggregation operators: properties, classes and construction methods. In: Calvo, T., Mayor, G., Mesiar, R. (eds.) Aggregation Operators. New Trends and Applications, Studies in Fuzziness and Soft Computing, vol. 97, pp. 3–104. Physica-Verlag, New York (2002)

    Chapter  Google Scholar 

  4. Calvo, T., Mayor, G.: Remarks on two types of extended aggregation functions. Tatra Mountains Mathematical Publications 16, 235–253 (1999)

    MathSciNet  MATH  Google Scholar 

  5. Dubois, D., Prade, H., Testemale, C.: Weighted fuzzy pattern matching. Fuzzy Sets and Systems 28, 313–331 (1988)

    Article  MathSciNet  MATH  Google Scholar 

  6. Grabisch, M., Pap, E., Marichal, J.L., Mesiar, R.: Aggregation Functions, Cambridge (2009)

    Google Scholar 

  7. Hirsch, J.E.: An index to quantify individual’s scientific research output. Proceedings of the National Academy of Sciences 102(46), 16569–16572 (2005)

    Article  Google Scholar 

  8. Marchant, T.: An axiomatic characterization of the ranking based on the h-index and some other bibliometric rankings of authors. Scientometrics 80(2), 325–342 (2009)

    Article  Google Scholar 

  9. Marchant, T.: Score-based bibliometric rankings of authors. Journal of the American Society for Information Science and Technology 60(6), 1132–1137 (2009)

    Article  Google Scholar 

  10. May, K.O.: A set of independent necessary and sufficient conditions for simple majority decision. Econometrica 20(4), 680–684 (1952)

    Article  MATH  Google Scholar 

  11. Mayor, G., Calvo, T.: On extended aggregation functions. In: Proc. IFSA 1997, vol. 1, pp. 281–285. Academia, Prague (1997)

    Google Scholar 

  12. Palacios-Huerta, I., Volij, O.: The measurement of intellectual influence. Econometrica 72(3), 963–977 (2004)

    Article  MATH  Google Scholar 

  13. Torra, V. (ed.): Information Fusion in Data Mining. Studies in Fuzziness and Soft Computing, vol. 123. Springer, Heidelberg (2003)

    MATH  Google Scholar 

  14. Torra, V., Narukawa, Y.: The h-index and the number of citations: two fuzzy integrals. IEEE Transactions on Fuzzy Systems 16(3), 795–797 (2008)

    Article  MathSciNet  Google Scholar 

  15. Woeginger, G.J.: An axiomatic analysis of Egghe’s g-index. Journal of Informetrics 2(4), 364–368 (2008)

    Article  MathSciNet  Google Scholar 

  16. Woeginger, G.J.: An axiomatic characterization of the Hirsch-index. Mathematical Social Sciences 56(2), 224–232 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  17. Yager, R.R.: On ordered weighted averaging aggregation operators in multictriteria decision making. IEEE Transactions on Systems, Man, and Cybernetics 18(1), 183–190 (1988)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gągolewski, M., Grzegorzewski, P. (2010). Arity-Monotonic Extended Aggregation Operators. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods. IPMU 2010. Communications in Computer and Information Science, vol 80. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14055-6_73

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-14055-6_73

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14054-9

  • Online ISBN: 978-3-642-14055-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics