Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

The degree of reflexivity of fuzzy relations in terms of left-continuous t-norms

  • Published:
Computational and Applied Mathematics Aims and scope Submit manuscript

Abstract

In this paper, we explore the degree of reflexivity of fuzzy relations. We mainly focus on exploring two new types of the degree of reflexivity of fuzzy relations (we briefly call them as the type-II degree of reflexivity and the type-III degree of reflexivity) that are different from the existing degree of reflexivity of fuzzy relations in the literature (we briefly call it as the type-I degree of reflexivity). The notion of the type-II degree of reflexivity is introduced through the use of the type-I degree of reflexivity and R-implications derived from left-continuous t-norms, while the notion of the type-III degree of reflexivity is introduced through the use of fuzzy equalities based on R-implications derived from left-continuous t-norms. We also illustrate that these three types of the degree of reflexivity are not equal to each other in general, and further characterize when they are equal to each other. Moreover, it is shown that the type-I degree of reflexivity and the type-III degree of reflexivity preserve fuzzy equalities, while the type-II degree of reflexivity does not preserve fuzzy equalities in general. We also characterize when the type-II degree of reflexivity preserves fuzzy equalities. Finally, we show that for continuous t-norms or the nilpotent minimum t-norm, and for a given fuzzy relation R on a set X, there exists a sub-\(\varepsilon \)-reflexive \((\varepsilon \in [0,1])\) fuzzy relation S on X, which is close enough to R with respect to fuzzy equalities, such that the degree of the fuzzy equality between S and R is the type-III degree of reflexivity of R.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Data availability

No data was used for the research described in the article.

References

  • Baczyński M, Jayaram B (2008) Fuzzy Implications, Studies in Fuzziness and Soft Computing, vol 231. Springer, Berlin, Heidelberg

    MATH  Google Scholar 

  • Běhounek L, Bodenhofer U, Cintula P (2008) Relations in fuzzy class theory: initial steps. Fuzzy Sets and Systems 159:1729–1772

    Article  MathSciNet  MATH  Google Scholar 

  • Běhounek L, Cintula P (2005) Fuzzy class theory. Fuzzy Sets and Systems 154:34–55

    Article  MathSciNet  MATH  Google Scholar 

  • Bělohlávek R (2002) Fuzzy Relational Systems. Kluwer America/Plenum Publishers, New York, Foundations and Principles

    Book  MATH  Google Scholar 

  • Boixader D, Recasens J (2009) Approximate fuzzy preorders and equivalences, IEEE International Conference on Fuzzy Systems, pp. 564–568, Korea

  • Boixader D, Recasens J (2010) Approximate fuzzy preorders and equivalences, A similarity based approach, IEEE International Conference on Fuzzy Systems, pp. 788–793, Spain

  • Boixader D, Recasens J (2010) Introducing strong \(T\)-transitivity in approximate fuzzy preorders and equivalences, Annual Meeting of the North American Fuzzy Information Processing Society, pp. 1–5, Canada

  • Dan Y, Hu BQ, Qiao J (2019) Some results on the degree of symmetry of fuzzy relations. Fuzzy Sets and Systems 360:1–32

    Article  MathSciNet  MATH  Google Scholar 

  • De Baets B, Bouremel H, Zedam L (2016) On the compatibility of a crisp relation with a fuzzy equivalence relation. Iranian Journal of Fuzzy Systems 13(7):15–31

    MATH  Google Scholar 

  • De Baets B, Van de Walle B (1996) Weak and strong fuzzy interval orders. Fuzzy Sets and Systems 79:213–225

    Article  MathSciNet  MATH  Google Scholar 

  • Fodor JC, Roubens M (1994) Fuzzy Preference Modelling and Multicriteria Decision Support. Kluwer Academic Publishers, Dordrecht

    Book  MATH  Google Scholar 

  • Georgescu I (2007) Fuzzy Choice Functions: A Revealed Preference Approach. Springer Publishing Company, Incorporated

    MATH  Google Scholar 

  • Georgescu I (2012) New revealed preference indicators of fuzzy choice functions. New Mathematics and Natural Computation 8:239–256

    Article  MathSciNet  MATH  Google Scholar 

  • Georgescu I (2015) On indicators of fuzzy relations. Annals of Fuzzy Mathematics and Informatics 9:553–571

    MathSciNet  MATH  Google Scholar 

  • Gottwald S (1991) Fuzzified fuzzy relations, in: R. Lowen, M. Roubens (Editors.), Proceedings of 4th IFSA Congress, In: P. Wuyts (Editor.), Mathematics, Brussels, pp. 82–86

  • Gottwald S (1993) Fuzzy Sets and Fuzzy Logic: Foundations of Application-From a Mathematical Point of View. Vieweg, Wiesbaden

    Book  MATH  Google Scholar 

  • Han YL, Shi FG (2018) A new way to extend fuzzy implications. Iranian Journal of Fuzzy Systems 15(3):79–97

    MathSciNet  MATH  Google Scholar 

  • Höhle U (1993) Fuzzy equalities and indistinguishability. In Proceedings EUFIT ’93, vol. 1, pp. 358–363, Aachen

  • Klement EP, Mesiar R, Pap E (2000) Triangular Norms. Kluwer Academic Publishers, Dordrecht

    Book  MATH  Google Scholar 

  • Lai H, Zhang D (2006) Fuzzy preorder and fuzzy topology. Fuzzy Sets and Systems 157:1865–1885

    Article  MathSciNet  MATH  Google Scholar 

  • Li W, Yang B, Qiao J (2023) \((O, G)\)-granular variable precision fuzzy rough sets based on overlap and grouping functions. Computational and Applied Mathematics 42(107):1–30

    MathSciNet  MATH  Google Scholar 

  • Lowen R (1996) Fuzzy Set Theory. Techniques and Bibliography, Springer, Netherlands Publishers, Basic Concepts

    Book  MATH  Google Scholar 

  • Ovchinnikov SV (1991) Similarity relations, fuzzy partitions, and fuzzy ordering. Fuzzy Sets and Systems 40:107–126

    Article  MathSciNet  MATH  Google Scholar 

  • Recasens J (2011) Indistinguishability Operators. Springer-Verlag, Berlin Heidelberg Publishers, Spain, Modelling Fuzzy Equalities and Fuzzy Equivalence Relations

  • Rosenthal KI (1990) Quantales and Their Applications. Longman, Essex

    MATH  Google Scholar 

  • Sun F, Qu X-B, Huang X-J (2020) Characterizations of residual implications derived from uni-nullnorms. Computational and Applied Mathematics 39(110):1–18

    MathSciNet  MATH  Google Scholar 

  • Valverde L (1985) On the structure of \(F\)-indistinguishability operators. Fuzzy Sets and Systems 17:313–328

    Article  MathSciNet  MATH  Google Scholar 

  • Wang X, Cao X, Wu C, Chen J (2013) Indicators of fuzzy relations. Fuzzy Sets and Systems 216:91–107

    Article  MathSciNet  MATH  Google Scholar 

  • Wang X, Xue Y (2014) Traces and property indicators of fuzzy relations. Fuzzy Sets and Systems 246:78–90

    Article  MathSciNet  MATH  Google Scholar 

  • Wu C, Wang L (2012a) Some results on the relationships between transitivity-related indicators of fuzzy relations, 2012 International Conference on Uncertainty Reasoning and Knowledge Engineering, Vol. 14–15, pp. 235–239, Jakarta, Indonesia

  • Wu C, Wang X (2012b) A further study on transitivity-related property indicators of fuzzy relations. Advanced Science Letters 7:630–633

  • Yang X-P, Lin H-T, Zhou X-G, Cao B-Y (2018) Addition-min fuzzy relation inequalities with application inBitTorrent-like Peer-to-Peer file sharing system. Fuzzy Sets and Systems 343:126–140

    Article  MathSciNet  MATH  Google Scholar 

  • Yang X-P, Zhou X-G, Cao B-Y (2016) Latticized linear programming subject to max-product fuzzy relation inequalities with application in wireless communication. Information Sciences 358–359:44–55

    Article  MATH  Google Scholar 

  • Zadeh LA (1965) Fuzzy sets. Information and Control 8:338–353

    Article  MathSciNet  MATH  Google Scholar 

  • Zadeh LA (1971) Similarity relations and fuzzy orderings. Information Sciences 3:177–200

    Article  MathSciNet  MATH  Google Scholar 

  • Zhang S, Pang B (2023) Overlap function-based amongness spaces. Computational and Applied Mathematics 42(134):1–25

    MathSciNet  MATH  Google Scholar 

  • Zimmermann HJ (2001) Fuzzy Set Theory and Its Applications. Kluwer Academic Publishers, Aachen

    Book  MATH  Google Scholar 

Download references

Acknowledgements

The authors express their sincere gratitude to the editors and the anonymous reviewers for their valuable comments and helpful suggestions that resulted in a great improvement of this paper. This research was supported by grants from the National Natural Science Foundation of China (Grant No. 12301595). This work was also supported by the Natural Science Foundation of Sichuan Province, China (No. 25QNJJ4056).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yexing Dan.

Ethics declarations

Conflict of interest

The authors declare that there is no Conflict of interest in the manuscript.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dan, Y., Pan, X. & Qiao, J. The degree of reflexivity of fuzzy relations in terms of left-continuous t-norms. Comp. Appl. Math. 44, 114 (2025). https://doi.org/10.1007/s40314-024-03052-3

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s40314-024-03052-3

Keywords

Mathematics Subject Classification