Abstract
The interval-valued fuzzy sets and Atanassov intuitionistic fuzzy sets can be extended to a more general framework to simultaneously deal with uncertainty in both membership and non-membership values. This fact leads to the concept of interval-valued Atanassov intuitionistic fuzzy sets (IVAIFS), as given by Atanassov and Gargov (Fuzzy Sets Syst, 31(3):343–349, 1989). In this paper, we focus on the study of interval-valued Atanassov intuitionistic t-norms and t-conorms, studying important properties and characterizations of some of their sub-classes. In addition, we do not only consider just the usual order on IVAIFS, but also admissible orders. Finally, we establish the basis for the use of this study in the approximate reasoning context.
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References
Alcalde C, Burusco A, Fuentes-González A (2005) A constructive method for the definition of interval-valued fuzzy implication operators. Fuzzy Sets Syst 153(2):211–227
Asmus TC, Dimuro GP, Bedregal B (2017) On two-player interval-valued fuzzy Bayesian games. Int J Intell Syst 32(6):557–596
Asmus TC, Dimuro GP, Bedregal B, Sanz JA, Pereira S, Bustince H (2020) General interval-valued overlap functions and interval-valued overlap indices. Inf Sci 527:27–50
Asmus TC, Dimuro GP, Bedregal B, Sanz JA, Mesiar R, Bustince H (2022) Towards interval uncertainty propagation control in bivariate aggregation processes and the introduction of width-limited interval-valued overlap functions. Fuzzy Sets Syst 441:130–168
Asmus TC, Sanz JA, Dimuro GP, Bedregal B, Fernandez J, Bustince H (2022) 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
Asmus TC, Sanz JA, Dimuro GP, Fernandez J, Mesiar R, Bustince H (2022) A methodology for controlling the information quality in interval-valued fusion processes: theory and application. Knowl Based Syst 258:109963. https://doi.org/10.1016/j.knosys.2022.109963
Atanassov K (1999) Intuitionistic fuzzy sets —theory and applications, Studies in Fuzziness and Soft Computing, vol 35. Physica, Heidelberg, p 324
Atanassov K (2004) Intuitionistic fuzzy sets. Fuzzy Sets Syst 20(1):87–96
Atanassov K, Gargov G (1989) Interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst 31(3):343–349
Aygünoglu A, Varol BP, Çetkin V, Aygün H (2012) Interval-valued intuitionistic fuzzy subgroups based on interval-valued double t-norm. Neural Comput Appl 21(suplement–1):207–214
Baczyński M, Jayaram B (2008) Fuzzy implications, studies in fuzziness and soft computing, vol 231. Springer, Heidelberg, p 310
Bedregal BC (2010) On interval fuzzy negations. Fuzzy Sets Syst 161(17):2290–2313
Bedregal B, Santiago RHN (2013) Interval representations, Łukasiewicz implicators and Smets-Magrez axioms. Inf Sci 221:192–200
Bedregal BC, Takahashi A (2005) Interval t-norms as interval representations of t-norms, in proc. In: 2005 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Reno, Nevada, USA, May 22–25, p. 909–914. https://doi.org/10.1109/FUZZY.2005.1452515.
Bedregal BC, Takahashi A (2006) T-norms, t-conorms, complements and interval implications. Trends Comput Appl Math 7(1):139–148
Bedregal BC, Santos HS, Bedregal RC (2006) T-norms on bounded lattices: t-norm morphisms and operators. In: 2006 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, BC, Canada, July 16–21, p. 22–28. https://doi.org/10.1109/FUZZY.2006.1681689.
Bedregal BC, Dimuro GP, Santiago RHN, Reiser RHS (2010) On interval fuzzy S-implications. Inf Sci 180(8):1373–1389
Bedregal BC, Beliakov G, Bustince H, Calvo T, Mesiar R, Paternain D (2012) A class of fuzzy multisets with a fixed number of memberships. Inf Sci 189:1–17
Bedregal B, Reiser R, Bustince H, Lopez-Molina C, Torra V (2014) Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms. Inf Sci 255:82–99
Bustince H, Burillo P (1995) Correlation of interval-valued intuitionistic fuzzy sets. Fuzzy Sets Syst 74:237–244
Bustince H, Barrenechea E, Pagola M (2008) Generation of interval-valued fuzzy and Atanassov’s intuitionistic fuzzy connectives from fuzzy connectives and from \(K_{\alpha }\) operators: laws for conjunctions and disjunctions, amplitude. Int J Intell Syst 23(6):680–714
Bustince H, Monteiro J, Pagola M, Barrenechea E, Gomez D (2008) A survey of interval-valued fuzzy sets. In: Pedrycz W, et al (eds) Handbook of Granular Computing, Chapter 22, Wiley, p. 1148
Bustince H, Fernandez J, Kolesárová A, Messiar R (2013) Generation of linear orders for intervals by means of aggregation functions. Fuzzy Sets Syst 220:69–77
Bustince H, Galar M, Bedregal B, Kolesárová A, Messiar R (2013) A new approach to interval-valued Choquet integrals and the problem of ordering in interval-valued fuzzy sets applications. IEEE Trans Fuzzy Syst 21(6):1150–1164
Bustince B, Barrenechea E, Fernandez J, Pagola M, Monteiro J (2015) Generation of interval-valued fuzzy negations from Trillas’ theorem. The case of interval type-2 fuzzy sets. In: Enric Trillas: passion for fuzzy sets, Studies in Fuzziness and Soft Computing, vol. 322, p. 93–108, Springer, Heildelber
Bustince H, Barrenechea E, Pagola M, Fernandez J, Xu Z, Bedregal B, Monteiro J, Hagras H, Herrera F, De Baets B (2016) A historical account of types of fuzzy sets and their relationships. IEEE Trans Fuzzy Syst 24(1):179–194
Cornelis C, Deschrijver G, Kerre EE (2006) Advances and challenges in interval-valued fuzzy logic. Fuzzy Sets Syst 157:622–627
da Costa CG, Bedregal BC, Dória Neto AD (2011) Relating De Morgan triples with Atanassov’s intuitionistic De Morgan triples via automorphisms. Int J Approx Reason 52(4):473–487
da Silva IA, Bedregal B, Santiago RHN (2016) On admissible total orders for interval-valued intuitionistic fuzzy membership degrees. Fuzzy Inf Eng 8:169–182
da Silva IA, Bedregal B, Bedregal B, Santiago RHN (2021) An interval-valued Atanassov’s intuitionistic fuzzy multi-attribute group decision making method based on the best representation of the WA and OWA operators. J Fuzzy Ext Appl 3(2):239–261
De Lima AA, Palmeira ES, Bedregal B, Bustince H (2021) Multidimensional fuzzy sets. IEEE Trans Fuzzy Syst 29(8):2195–2208
De Miguel L, Bustince H, Fernandez J, Induráin E, Kolesárová A, Mesiar R (2016) Construction of admissible linear orders for interval-valued Atanassov intuitionistic fuzzy sets using aggregation functions. Inf Fusion 27:189–197
De Miguel L, Bustince H, Pekala B, Bentkowska U, da Silva IA, Bedregal B, Mesiar R, Ochoa G (2016) Interval-valued Atanassov intuitionistic OWA aggregations using admissible linear orders and their application to decision making. IEEE Trans Fuzzy Syst 24(6):1586–1597
Deschrijver G, Cornelis C, Kerre EE (2004) On the representation of intuitionistic fuzzy t-norms and t-conorms. IEEE Trans Fuzzy Syst 12(1):45–61
Dimuro GP, Bedregal BC, Santiago RHN, Reiser RHS (2011) Interval additive generators of interval t-norms and interval t-conorms. Inf Sci 181:3898–3916
Dimuro GP, Fernández J, Bedregal B, Mesiar R, Sanz JA, Lucca G, Bustince H (2020) The state-of-art of the generalizations of the Choquet integral: from aggregation and pre-aggregation to ordered directionally monotone functions. Inf Fus 57:27–43
Jin J, Ye M, Pedrycz W (2020) Quintuple implication principle on interval-valued intuitionistic fuzzy sets. Soft Comput 24:12091–12109
Klement EP, Mesiar R, Pap E (2000) Triangular norms. Kluwer Academic Publishers, Dordrecht
Lima L, Bedregal B, Bustince H, Barrenechea E, da Rocha MP (2016) An interval extension of homogeneous and pseudo-homogeneous t-norms and t-conorms. Inf Sci 355–356:328–347
Lima L, Bedregal B, da Rocha MP, Castillo-Lopez A, Fernandez J, Bustince H (2022) On some classes of nullnorms and h-pseudo homogeneity. Fuzzy Sets Syst 427:23–36
Lucca G, Sanz JA, Dimuro GP, Bedregal B, Bustince H, Mesiar R (2018) CF-integrals: a new family of pre-aggregation functions with application to fuzzy rule-based classification systems. Inf Sci 435:94–110
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
Matzenauer M, Reiser R, Santos HS, Bedregal B, Bustince H (2021) Strategies on admissible total orders over typical hesitant fuzzy implications applied to decision making problems. Int J Intell Syst 36(5):2144–2182
Milfont T, Bedregal B, Mezzomo I (2021) Generation of admissible orders on n-dimensional fuzzy set \(L_n([0, 1])\). Inf Sci 581:856–875
Palmeira ES, Bedregal B, Mesiar R, Fernandez J (2014) A new way to extend t-norms, t-conorms and negations. Fuzzy Sets Syst 240:1–21
Palmeira ES, Bedregal B, Bustince H, Paternain D, De Miguel L (2018) Application of two different methods for extending lattice-valued restricted equivalence functions used for constructing similarity measures on L-fuzzy sets. Inf Sci 441:95–112
Pekala B (2019) Uncertainty data in interval-valued fuzzy set theory—properties, algorithms and applications. In: Studies in Fuzziness and Soft Computing 367 Springer, Heidelberg, pp 1-156
Qiao J, Hu BQ (2018) On transformations from semi-three-way decision spaces to three-way decision spaces based on triangular norms and triangular conorms. Inf Sci 432:22–51
Reiser RHS, Bedregal B (2013) Interval-valued intuitionistic fuzzy implications—construction, properties and representability. Inf Sci 248:68–88
Reiser RHS, Bedregal B (2014) K-operators: an approach to the generation of interval-valued fuzzy implications from fuzzy implications and vice versa. Inf Sci 257:286–300
Reiser RHS, Bedregal B (2017) Correlation in interval-valued Atanassov’s intuitionistic fuzzy sets—conjugate and negation operators. Int J Uncertain Fuzziness Knowl Based Syst 25(5):787–820
Reiser RHS, Bedregal B, dos Reis GAA (2014) Interval-valued fuzzy coimplications and related dual interval-valued conjugate functions. J Comput Syst Sci 80(2):410–425
Rodrigues LM, Dimuro GP, Franco, DT, Fachinello, JC (2003) A system based on interval fuzzy approach to predict the appearance of pests in agriculture. In: Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), Los Alamitos: IEEE, p. 1262–1267
Santana FL, Bedregal B, Viana P, Bustince H (2020) On admissible orders over closed subintervals of \([0, 1]\). Fuzzy Sets Syst 399:44–54
Wang W, Liu X, Qin Y (2012) Interval-valued intuitionistic fuzzy aggregation operators. J Syst Eng Electron 23(4):574–580
Wieczynski J, Lucca G, Dimuro GP, Borges E, Sanz JA, Asmus TC, Fernandez J, Bustince H (2022) \(dC_F\)-Integrals: generalizing \(C_F\)-integrals by means of restricted dissimilarity functions. IEEE Trans Fuzzy Syst. https://doi.org/10.1109/TFUZZ.2022.3184054
Wieczynski J, Fumanal-Indocin J, Lucca G, Borges EN, Asmus TC, Emmendorfer L, 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
Wu J, Luo M (2011) Fixed points of involutive interval-valued negations. Fuzzy Sets Syst 182(1):110–118
Xu Z, Yager R (2006) Some geometric aggregation operators based on intuitionistic fuzzy sets. Int J Gen Syst 35:417–433
Zadeh LA (1973) Outline of a new aproach to analysis of complex systems and decision processes. IEEE Trans Syst Man Cybern 3:28–44
Zapata H, Bustince H, Montes S, Bedregal B, Dimuro GP, Takác Z, Baczyński M, Fernandez J (2017) Interval-valued implications and interval-valued strong equality index with admissible orders. Int J Approx Reason 88:91–109
Zheng M, Shi Z, Liu Y (2014) Triple I method of approximate reasoning on Atanassov’s intuitionistic fuzzy sets. Int J Approx Reason 55(6):1369–1382
Zumelzu N, Bedregal B, Mansilla E, Bustince H, Díaz R (2022) Admissible orders on fuzzy numbers. IEEE Trans Fuzzy Syst 30(11):4788–4799
Acknowledgements
This work was supported by the Brazilian funding agency CNPq (Brazilian Research Council) under Projects 301618/2019-4 and 311429/2020-3, FAPERGS (19/2551-0001660) and by the Spanish Ministry of Science and Technology (TIN2016-77356-P, PID2019-108392GB I00 (MCIN/AEI/10.13039/501100011033)).
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Communicated by Regivan Hugo Nunes Santiago.
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Bedregal, B., Lima, L., Rocha, M. et al. Interval-valued Atanassov intuitionistic t-norms and t-conorms endowed with the usual or admissible orders. Comp. Appl. Math. 42, 49 (2023). https://doi.org/10.1007/s40314-022-02179-5
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DOI: https://doi.org/10.1007/s40314-022-02179-5
Keywords
- Interval-valued Atanassov intuitionist fuzzy sets
- Admissible linear orders
- t-norms
- t-conorms
- Composition of fuzzy relations
- Approximate reasoning