×

Negations and aggregation operators based on a new hesitant fuzzy partial ordering. (English) Zbl 1429.03185

Summary: Based on a new hesitant fuzzy partial ordering proposed by L. Garmendia et al. [Int. J. Approx. Reasoning 84, 159–167 (2017; Zbl 1422.03116)], in this paper, a fuzzy disjunction \(D\) on the set \(H\) of finite and nonempty subsets of the unit interval and a t-conorm \(S\) on the set \(\bar{B}\) of equivalence class on the set of finite bags of unit interval based on this partial ordering are introduced respectively. Then, hesitant fuzzy negations \(N_n\) on \(H\) and \(mu_n\) on \(\bar{B}\) are proposed. Particularly, their De Morgan’s laws are investigated with respect to binary operations \(C\) and \(D\) on \(H\), as well as \(T\) and \(S\) on \(\bar{B}\), respectively, where \(C\) is a commutative fuzzy conjunction on \((H,\leq_H)\) and \(T\) is a t-norm on \((\bar{B},\leq_B)\). Finally, the new hesitant fuzzy aggregation operators are presented on \(H\) and \(\bar{B}\) and their more general forms are given. Moreover, the validity of the aggregation operations is illustrated by a numerical example on decision making.

MSC:

03E72 Theory of fuzzy sets, etc.
06A06 Partial orders, general
91B06 Decision theory

Citations:

Zbl 1422.03116
Full Text: DOI

References:

[1] B. D. Baets, R. Mesiar,Triangular norms on product lattices, Fuzzy Sets and Systems,104(1) (1999), 61-75. · Zbl 0935.03060
[2] I. Batyrshin, O. Kaynak, I. Rudas,Fuzzy modeling based on generalized conjunction operations, IEEE Transactions on Fuzzy Systems,10(5) (2002), 678-683.
[3] B. Bedregal, R. Reiser, H. Bustince, C. Lopez-Molina, V. Torra,Aggregation functions for typical hesitant fuzzy elements and the action of automorphisms, Information Sciences,255(1) (2014), 82-99. · Zbl 1320.68178
[4] B. Benjamin, H. N. R. Santiago, B. Humberto, P. Daniel, R. Renata,Typical hesitant fuzzy negations, International Journal of Intelligent Systems,29(6) (2014), 525-543.
[5] T. Calvo, A. Kolesárová, M. Komorníkova, R. Mesiar,Aggregation operators: Properties, classes and construction methods, In: Aggregation Operators-New Trends and Applications, Physica-Verlag, Heidelberg, 2002. · Zbl 1039.03015
[6] J. C. Fodor, T. Keresztfalvi,Non-standard conjunctions and implications in fuzzy logic, International Journal Approximate Reasoning,12(2) (1995), 69-84. · Zbl 0815.03017
[7] L. Garmendia, R. G. D. Campo, J. Recasens,Partial orderings for hesitant fuzzy sets, International Jounal Approximate Reasoning,84(2017), 159-167. · Zbl 1422.03116
[8] P. Hernández, S. Cubillo, C. Torres-Blanc,Negations on type-2 fuzzy sets, Fuzzy Sets and Systems,252(2014), 111-124. · Zbl 1334.03053
[9] J. H. Lilly,Evolution of a negative-rule fuzzy obstacle avoidance controller for an autonomous vehicle, IEEE Transactions on Fuzzy Systems,15(4) (2007), 718-728.
[10] Z. H. Pan, C. Wang, L. J. Zhang,Three kinds of negations in fuzzy knowledge and their applications to decision making in financial investment, In: Computational Collective Intelligence. Technologies and Applications, Lect Notes Comput Science,6422(2010), 391-401.
[11] R. O. Parreiras, P. Y. Ekel, J. S. C. Martini, R. M. Palhares,A flexible consensus scheme for multicriteria group decision making under linguistic assessments, Information Sciences,180(2010), 1075-1089.
[12] R. M. Rodríguez, L. Martínez, F. Herrera,Hesitant fuzzy linguistic term sets for decision making, IEEE Transactions on Fuzzy Systems,20(1) (2012), 109-119.
[13] R. M. Rodríguez, L. Martínez, F. Herrera,A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets, Information Sciences,241(12) (2013), 28-42. · Zbl 1320.91050
[14] R. M. Rodríguez, L. Martínez, V. Torra, Z. S. Xu, F. Herrera,Hesitant fuzzy sets: State of the art and future directions, International Journalof Intelligent Systems,29(6) (2014), 495-524.
[15] H. S. Santos,Construction of typical hesitant triangular norms regarding Xu-Xia-partial Order, Ifsa-Eusflat, 2015.
[16] H. Santos, B. Bedregal, R. Santiago, H. Bustince,Typical hesitant fuzzy negations based on Xu-Xia-partial order, Norbert Wiener in the Century, IEEE,29(6) (2014), 1-6.
[17] V. Torra,Hesitant fuzzy sets, International Journal of Intelligent Systems,25(6) (2010), 529-539. · Zbl 1198.03076
[18] V. Torra, Y. Narukawa,On hesitant fuzzy sets and decision, In: The 18th IEEE International Conference on Fuzzy Systems, (2009), 1378-1382.
[19] C. Torres-Blanc, S. Cubillo, P. Hernández,Aggregation operators on type-2 fuzzy sets, Fuzzy Sets and Systems, 324(2017), 74-90. · Zbl 1380.03057
[20] E. Trillas,Sobre funciones de negación en la teorĺa de conjuntos difusos, Stochastica,3(1) (1979), 47-60 (in Spanish).
[21] S. S. Wang, Z. H. Pan, L. Yang,Fuzzy decision making based on fuzzy logic with contradictory negation, opposite negation and medium negation. In: Artificial Intelligence and Computational Intelligence. Springer Berlin Heidelberg, (2012), 200-208.
[22] C. Wei, N. Zhao, X. Tang,Operators and comparisons of hesitant fuzzy linguistic term sets, IEEE Transactions on Fuzzy Systems,22(3) (2014), 575-585.
[23] J. Wu, S. T. Wang, L. C. Fu,Positive and negative fuzzy rule system, extreme learning machine and image classification, International Journal of Machine Learning Cybernetics,2(4) (2011), 261-271.
[24] M. M. Xia, Z. S. Xu,Hesitant fuzzy information aggregation in decision making, International Journal of Approximate Reasoning,52(3) (2011), 395-407. · Zbl 1217.68216
[25] Z. S. Xu, M. M. Xia,Distance and similarity measures for hesitant fuzzy sets, Information Science,181(11) (2011), 2128-2138. · Zbl 1219.03064
[26] R. R. Yager,On the theory of bags, International Journal of General Systems,13(1) (1986), 23-37.
This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. In some cases that data have been complemented/enhanced by data from zbMATH Open. This attempts to reflect the references listed in the original paper as accurately as possible without claiming completeness or a perfect matching.