Abstract
The \(\Theta \)–\(\Xi \) function is a unified framework for 0-overlap functions and 1-grouping functions on the unit interval. Building upon this, the present article extends the concept to complete lattices and provides constructions of \(\Theta \)–\(\Xi \) functions on complete lattices. Additionally, our paper explores the algebraic relationship between 0-overlap functions and 1-grouping functions on a totally ordered complete lattice, demonstrating that the set of all 0-overlap functions and the set of all 1-grouping functions on a totally ordered complete lattice are isomorphic as lattices.
Similar content being viewed by others
Data availability
Not applicable.
Code availability
Not applicable.
References
Bustince H, Fernández J, Mesiar R, Montero J, Orduna R (2010) Overlap functions. Nonlinear Anal 72(3–4):1488–1499
Bustince H, Pagola M, Mesiar R, Hüllermeier E, Herrera F (2011) Grouping, overlap, and generalized bientropic functions for fuzzy modeling of pairwise comparisons. IEEE Trans Fuzzy Syst 20(3):405–415
Bustince H, Mesiar R, Dimuro GP, Fernández J, Bedregal BC (2021) The evolution of the notion of overlap functions in fuzzy approaches for soft computing and approximate reasoning: theories and applications 2021. Springer, Berlin, pp 21–29
da Cruz Asmus T, Sanz JA, Dimuro GP, Bedregal B, Fernández J, Bustince H (2021) N-dimensional admissibly ordered interval-valued overlap functions and its influence in interval-valued fuzzy rule-based classification systems. IEEE Trans Fuzzy Syst 30(4):1060–1072
De Baets B, Mesiar R (1999) Triangular norms on product lattices. Fuzzy Sets Syst 104(1):61–75
de Hierro AFRL, Roldán C, Tíscar MÁ Takác̆ Z, Santiago RH, Dimuro GP (2022) Type-\((2, k)\) overlap indices. IEEE Trans Fuzzy Syst 31(3):860–874
de Lima AA, Bedregal B, Mezzomo I (2020) Ordinal sums of the main classes of fuzzy negations and the natural negations of t-norms, t-conorms and fuzzy implications. Int J Approx Reason 116:19–32
De Miguel L, Gómez D, Rodríguez JT, Montero J, Bustince H, Dimuro GP, Sanz JA (2019) General overlap functions. Fuzzy Sets Syst 372:81–96
Dimuro GP, Bedregal B (2015) On residual implications derived from overlap functions. Inf Sci 312:78–88
Elkano M, Galar M, Sanz JA, Schiavo PF, Pereira S Jr, Dimuro GP, Borges EN, Bustince H (2018) Consensus via penalty functions for decision making in ensembles in fuzzy rule-based classification systems. Appl Soft Comput 67:728–740
El-Zekey M (2020) Lattice-based sum of t-norms on bounded lattices. Fuzzy Sets Syst 386:60–76
Han N, Qiao J, Li T, Ding W (2024) Multigranulation fuzzy probabilistic rough sets induced by overlap functions and their applications. Fuzzy Sets Syst 481:108893
Lucca G, Sanz JA, Dimuro GP, Bedregal B, Asiáin MJ, Elkano M, Bustince H (2017) CC-integrals: Choquet-like Copula-based aggregation functions and its application in fuzzy rule-based classification systems. Knowl-Based Syst 119:32–43
Marco-Detchart C, Lucca G, Lopez-Molina C, De Miguel L, Dimuro GP, Bustince H (2021) Neuro-inspired edge feature fusion using Choquet integrals. Inf Sci 581:740–754
Marco-Detchart C, Lucca G, Dimuro G, Rincon JA, Julian V (2023) Adaptative fuzzy measure for edge detection. In: Intelligent data engineering and automated learning-IDEAL 2023. Springer Nature Switzerland, Cham, pp 497–505
Paiva R, Santiago R, Bedregal B, Rivieccio U (2021) Inflationary BL-algebras obtained from 2-dimensional general overlap functions. Fuzzy Sets Syst 418:64–83
Qi G, Li J, Kang B, Yang B (2023) The aggregation of Z-numbers based on overlap functions and grouping functions and its application on group decision-making. Inf Sci 623:857–899
Qiao J (2021) Overlap and grouping functions on complete lattices. Inf Sci 542:406–424
Qiao J (2023) A unified framework of 0-overlap functions and 1-grouping functions. Fuzzy Sets Syst 469:108638
Qiao J, Hu BQ (2017) On interval additive generators of interval overlap functions and interval grouping functions. Fuzzy Sets Syst 323:19–55
Qiao J, Zhao B (2020) On \(\alpha \)-cross-migrativity of overlap (0-overlap) functions. IEEE Trans Fuzzy Syst 30(2):448–461
Rodriguez-Martinez I, da Cruz Asmus T, Dimuro GP, Herrera F, Takác̆ Z, Bustince H (2023) Generalizing max pooling via \((a,b)\)-grouping functions for convolutional neural networks. Inf Fusion 99:101893
Shcherbacov V (2017) Elements of quasigroup theory and applications. Chapman and Hall/CRC, New York
Sun XR, Liu HW (2021) The additive generators of t-norms and t-conorms on bounded lattices. Fuzzy Sets Syst 408:13–25
Wang Y, Hu BQ (2022) Constructing overlap and grouping functions on complete lattices by means of complete homomorphisms. Fuzzy Sets Syst 427:71–95
Wang J, Li X (2024) An overlap function-based three-way intelligent decision model under interval-valued fuzzy information systems. Expert Syst Appl 238:122036
Wang J, Zhang X, Bustince H (2024) Fuzzy neighborhood Choquet integrals with overlap functions and their applications in attribute reduction. Expert Syst Appl 243:122756
Wieczynski J, Lucca G, Borges EN, Dimuro GP, Lourenzutti R, Bustince H (2021) CC-separation measure applied in business group decision making. In: Proceedings of the 23rd international conference on enterprise information systems ICEIS 2021, Scitepress, pp 452–462
Wieczynski J, Fumanal-Idocin J, Lucca G, Borges EN, da Cruz Asmus T, Emmendorfer LR Bustince H, Dimuro GP (2022) d-XC integrals: on the generalization of the expanded form of the Choquet integral by restricted dissimilarity functions and their applications, IEEE Trans Fuzzy Syst 30(12):5376–5389
Wieczynski J, Lucca G, Dimuro GP, Borges EN, Sanz JA, da Cruz Asmus T, Bustince H (2022) \(dC_{F}\)-integrals: generalizing \(C_{F}\)-integrals by means of restricted dissimilarity functions. IEEE Trans Fuzzy Syst 31(1):160–173
Zhang X, Ou Q, Wang J (2024) Variable precision fuzzy rough sets based on overlap functions with application to tumor classification. Inf Sci 666:120451
Acknowledgements
The authors are highly grateful to the editor and anonymous referees for their careful reading and valuable suggestions which helped to improve the paper. This research is supported by a grant of Guangxi Science and Technology Program (Nos. AD23023001 and AA24010005), National Natural Science Foundation of China (11901371), Postdoctoral Science Foundation of China (2019M660054XB).
Author information
Authors and Affiliations
Contributions
Xulong An: Writing-original draft, Writing-review & editing. Heng Liu: Writing-review & editing, Funding acquisition, Formal analysis. Jiang Yang: Writing-review & editing, Funding acquisition, Supervision.
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no Conflict of interest.
Ethical approval
Not applicable.
Human participants and/or animals
Not applicable.
Consent for publication
All authors have agreed to the submission for possible publication in Soft Computing.
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.
About this article
Cite this article
An, X., Liu, H. & Yang, J. The construction of \(\Theta \)–\(\Xi \) functions on complete lattices. Comp. Appl. Math. 44, 85 (2025). https://doi.org/10.1007/s40314-024-03046-1
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s40314-024-03046-1