Skip to main content

T-Overlap Functions: A Generalization of Bivariate Overlap Functions by t-Norms

  • Conference paper
  • First Online:
Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations (IPMU 2018)

Abstract

This paper introduces a generalization of overlap functions by extending one of the boundary conditions of its definition. More specifically, instead of requiring that “the considered function is equal to zero if and only if some of the inputs is equal to zero”, we allow the range in which some t-norm is zero. We call such generalization by a t-overlap function with respect to such t-norm. Then we analyze the main properties of t-overlap function and introduce some construction methods.

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 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
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

Similar content being viewed by others

Notes

  1. 1.

    In this paper, a increasing (decreasing) function does not need to be strictly increasing (decreasing).

References

  1. Bedregal, B.C., Dimuro, G.P., Bustince, H., Barrenechea, E.: New results on overlap and grouping functions. Inf. Sci. 249, 148–170 (2013)

    Article  MathSciNet  Google Scholar 

  2. Bedregal, B.C., Dimuro, G.P., Santiago, R.H.N., Reiser, R.H.S.: On interval fuzzy S-implications. Inf. Sci. 180(8), 1373–1389 (2010)

    Article  MathSciNet  Google Scholar 

  3. Beliakov, G., Pradera, A., Calvo, T.: Aggregation Functions: A Guide for Practitioners. Springer, Berlin (2007). https://doi.org/10.1007/978-3-540-73721-6

    Book  MATH  Google Scholar 

  4. Bustince, H., Fernandez, J., Mesiar, R., Montero, J., Orduna, R.: Overlap functions. Nonlinear Anal. Theory Methods Appl. 72(3–4), 1488–1499 (2010)

    Article  MathSciNet  Google Scholar 

  5. Dimuro, G.P.: On interval fuzzy numbers. In: 2011 Workshop-School on Theoretical Computer Science, WEIT 2011, pp. 3–8. IEEE, Los Alamitos (2011)

    Google Scholar 

  6. Dimuro, G.P., Bedregal, B.C., Reiser, R.H.S., Santiago, R.H.N.: Interval additive generators of interval t-norms. In: Hodges, W., de Queiroz, R. (eds.) WoLLIC 2008. LNCS (LNAI), vol. 5110, pp. 123–135. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-69937-8_12

    Chapter  Google Scholar 

  7. Dimuro, G.P., Bedregal, B.: Archimedean overlap functions: the ordinal sum and the cancellation, idempotency and limiting properties. Fuzzy Sets Syst. 252, 39–54 (2014)

    Article  MathSciNet  Google Scholar 

  8. Dimuro, G.P., Bedregal, B.: On residual implications derived from overlap functions. Inf. Sci. 312, 78–88 (2015)

    Article  MathSciNet  Google Scholar 

  9. Dimuro, G.P., Bedregal, B., Bustince, H., Asiáin, M.J., Mesiar, R.: On additive generators of overlap functions. Fuzzy Sets Syst. 287, 76–96 (2016). Theme: Aggregation Operations

    Article  MathSciNet  Google Scholar 

  10. Dimuro, G.P., Bedregal, B., Bustince, H., Jurio, A., Baczyński, M., Miś, K.: QL-operations and QL-implication functions constructed from tuples (O, G, N) and the generation of fuzzy subsethood and entropy measures. Int. J. Approx. Reason. 82, 170–192 (2017)

    Article  MathSciNet  Google Scholar 

  11. Garcia-Jimenez, S., Bustince, H., Hüllermeier, E., Mesiar, R., Pal, N.R., Pradera, A.: Overlap indices: construction of and application to interpolative fuzzy systems. IEEE Trans. Fuzzy Syst. 23(4), 1259–1273 (2015)

    Article  Google Scholar 

  12. Jurio, A., Bustince, H., Pagola, M., Pradera, A., Yager, R.: Some properties of overlap and grouping functions and their application to image thresholding. Fuzzy Sets Syst. 229, 69–90 (2013)

    Article  MathSciNet  Google Scholar 

  13. Lucca, G., Dimuro, G.P., Mattos, V., Bedregal, B., Bustince, H., Sanz, J.A.: A family of Choquet-based non-associative aggregation functions for application in fuzzy rule-based classification systems. In: 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–8. IEEE, Los Alamitos (2015)

    Google Scholar 

  14. Lucca, G., Sanz, J.A., Dimuro, G.P., Bedregal, B., Asiain, M.J., Elkano, M., Bustince, H.: CC-integrals: Choquet-like copula-based aggregation functions and its application in fuzzy rule-based classification systems. Knowl.-Based Syst. 119, 32–43 (2017)

    Article  Google Scholar 

  15. Mayor, G., Trillas, E.: On the representation of some aggregation functions. In: Proceedings of IEEE International Symposium on Multiple-Valued Logic, pp. 111–114. IEEE, Los Alamitos (1986)

    Google Scholar 

Download references

Acknowledgment

Supported by Caixa and Fundación Caja Navarra of Spain, the Brazilian National Counsel of Technological and Scientific Development CNPq (Proc. 307781/2016-0), the Spanish Ministry of Science and Technology (TIN2016-77356-P).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hugo Zapata .

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

Zapata, H., Dimuro, G.P., Fernández, J., Bustince, H. (2018). T-Overlap Functions: A Generalization of Bivariate Overlap Functions by t-Norms. In: Medina, J., et al. Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations. IPMU 2018. Communications in Computer and Information Science, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-319-91473-2_41

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-91473-2_41

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-91472-5

  • Online ISBN: 978-3-319-91473-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics