Skip to main content

Aggregation with T-Norms and LexiT-Orderings and Their Connections with the Leximin Principle

  • Conference paper
  • First Online:
Book cover Fuzzy Information Processing (NAFIPS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 831))

Included in the following conference series:

  • 758 Accesses

Abstract

We analyze the impact of applying families of T-norm and LexiT-ordering aggregation functions in the context of egalitarian reasoning. We compare both of them with the minimum and lexicographic minimum aggregation functions, which are well-known functions used in the aggregation approach in the decision making problem. For this task, we consider three logical properties in the Social Choice theory and Economics: Hammond Equity, Strong Pareto and Anonymity. It is known that lexicographic minimum satisfies all of these properties. We present in this paper some conditions to T-norms and LexiT-orderings satisfy these logical properties or restrictions of them.

This research is supported by CNPq and CAPES.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

References

  1. Arrow, K., Sen, A., Suzumura, K. (eds.): Handbook of Social Choice and Welfare, 1st edn. Elsevier, Amsterdam (2002)

    MATH  Google Scholar 

  2. Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: A Guide for Practitioners. Studies in Fuzziness and Soft Computing. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-540-73721-6. https://books.google.com.br/books?id=ztIAvgAACAAJ

    Book  Google Scholar 

  3. Butnariu, D., Klement, E.P.: Triangular Norm-Based Measures and Games with Fuzzy Coalitions, vol. 10. Springer, Dordrecht (1993). https://doi.org/10.1007/978-94-017-3602-2

    Book  MATH  Google Scholar 

  4. Detyniecki, M.: Fundamentals on aggregation operators. This manuscript is based on Detynieckis doctoral thesis (2001). http://www.cs.berkeley.edu/~marcin/agop.pdf

  5. Detyniecki, M., Yager, R.R., Bouchon-Meunier, B.: Reducing t-norms and augmenting t-conorms. Int. J. Gen Syst 31(3), 265–276 (2002)

    Article  MathSciNet  Google Scholar 

  6. Klement, E.P., Mesiar, R.: Logical, Algebraic, Analytic and Probabilistic Aspects of Triangular Norms. Elsevier Science B.V, Amsterdam (2005)

    MATH  Google Scholar 

  7. Klement, E.P., Mesiar, R., Pap, E.: On the order of triangular norms: comments on “A triangular norm hierarchy” by E. Cretu. Fuzzy Sets Syst. 131(3), 409–413 (2002)

    Article  Google Scholar 

  8. Klement, E.P., Pap, E., Mesiar, R.: Triangular norms. Trends in logic. Kluwer Academic Publ. cop., Dordrecht, Boston, London (2000). http://opac.inria.fr/record=b1104736

    Book  Google Scholar 

  9. Schweizer, B., Sklar, A.: Associative functions and statistical triangle inequalities. Publ. Math. 8, 169–186 (1961)

    MATH  MathSciNet  Google Scholar 

  10. Sen, A.K.: Choice, Welfare and Measurement. Harvard University Press, Cambridge (1997)

    MATH  Google Scholar 

  11. Tungodden, B.: Egalitarianism: Is leximin the only option? Working papers, Norwegian School of Economics and Business Administration- (1999). http://EconPapers.repec.org/RePEc:fth:norgee:4/99

  12. Walker, C., Walker, E., Yager, R.: Some comments on lexit orderings for strict t-norms. In: The 14th IEEE International Conference on Fuzzy Systems, FUZZ 2005, pp. 669–671, May 2005

    Google Scholar 

  13. Weber, S.: A general concept of fuzzy connectives, negations and implications based on t-norms and t-conorms. Fuzzy Sets Syst. 11(1–3), 103–113 (1983)

    MATH  MathSciNet  Google Scholar 

  14. Yager, R.R.: On a general class of fuzzy connectives. Fuzzy Sets Syst. 4(3), 235–242 (1980)

    Article  MathSciNet  Google Scholar 

  15. Yager, R.R., Walker, C.L., Walker, E.A.: Generalizing Leximin to t-norms and t-conorms: the LexiT and LexiS orderings. Fuzzy Sets Syst. 151(2), 327–340 (2005). http://www.sciencedirect.com/science/article/pii/S0165011404001824

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Henrique Viana .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Viana, H., Alcântara, J. (2018). Aggregation with T-Norms and LexiT-Orderings and Their Connections with the Leximin Principle. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95312-0_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95311-3

  • Online ISBN: 978-3-319-95312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics