Abstract
We introduce particular aggregation operators on shadowed sets, which derive from the operations between conditional events and from the consensus operator. Considering that shadowed sets arise as approximations of fuzzy sets, we also present and study special classes of aggregation functions that can be approximated by the considered operations on shadowed sets.
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Notes
- 1.
We indicate such operations with the symbols \(*_{15}, \ldots , *_{21}\) since other operations \(*_1, \ldots , *_{14}\) are already defined on shadowed sets in [2].
- 2.
The function \(f \otimes g \in [0,1]^X\) is defined as follows: \((f \otimes g)(x)=f(x) \otimes g(x)\) for each \(x \in X\). Similarly, the function \(\mathcal {S}_{(\alpha ,\beta )}(f) * \mathcal {S}_{(\alpha ,\beta )}(g) \in \{0,[0,1],1\}^X\) is defined as follows: \((\mathcal {S}_{(\alpha ,\beta )}(f) * \mathcal {S}_{(\alpha ,\beta )}(g))(x)=\mathcal {S}_{(\alpha ,\beta )}(f)(x) * \mathcal {S}_{(\alpha ,\beta )}(g)(x)\) for each \(x \in X\).
- 3.
\(\otimes _M\) and \(\oplus _M\) are defined as follows: \(x \otimes _M y= \min (x,y)\) and \(x \oplus _M y=\max (x,y)\), for each \(x,y \in [0,1]\) [19].
References
Bochvar, D.A., Bergmann, M.: On a three-valued logical calculus and its application to the analysis of the paradoxes of the classical extended functional calculus. Hist. Philos. Logic 2(1–2), 87–112 (1981)
Boffa, S., Campagner, A., Ciucci, D., Yao, Y.: Aggregation operators on shadowed sets. Inf. Sci. 595, 313–333 (2022)
Campagner, A., Dorigatti, V., Ciucci, D.: Entropy-based shadowed set approximation of intuitionistic fuzzy sets. Int. J. Intell. Syst. 35(12), 2117–2139 (2020)
Casillas, J., Cordón, O., Triguero, F.H., Magdalena, L. (eds.): Interpretability Issues in Fuzzy Modeling. Studies in Fuzziness and Soft Computing, vol. 128. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-540-37057-4
Ciucci, D.: Orthopairs: a simple and widely usedway to model uncertainty. Fund. Inf. 108(3–4), 287–304 (2011)
Ciucci, D.: Orthopairs and granular computing. Granular Comput. 1(3), 159–170 (2016)
Ciucci, D., Dubois, D., Lawry, J.: Borderline vs. unknown: comparing three-valued representations of imperfect information. Int. J. Approx. Reason. 55(9), 1866–1889 (2014)
Deng, X., Yao, Y.: Mean-value-based decision-theoretic shadowed sets. In: 2013 Joint IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), pp. 1382–1387. IEEE (2013)
Fodor, J.: Aggregation functions in fuzzy systems. In: Aspects of Soft Computing, Intelligent Robotics and Control, pp. 25–50. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03633-0_2
Gao, M., Zhang, Q., Zhao, F., Wang, G.: Mean-entropy-based shadowed sets: a novel three-way approximation of fuzzy sets. Int. J. Approx. Reason. 120, 102–124 (2020)
He, S., Pan, X., Wang, Y.: A shadowed set-based todim method and its application to large-scale group decision making. Inf. Sci. 544, 135–154 (2021)
Ibrahim, M., William-West, T., Kana, A., Singh, D.: Shadowed sets with higher approximation regions. Soft. Comput. 24, 17009–17033 (2020)
Kleene, S.C., De Bruijn, N., de Groot, J., Zaanen, A.C.: Introduction to metamathematics, vol. 483. van Nostrand New York (1952)
Lawry, J., Dubois, D.: A bipolar framework for combining beliefs about vague propositions. In: Proceedings of the Thirteenth International Conference on Principles of Knowledge Representation and Reasoning, pp. 530–540 (2012)
Mitra, S., Pedrycz, W., Barman, B.: Shadowed c-means: integrating fuzzy and rough clustering. Pattern Recogn. 43(4), 1282–1291 (2010)
Pedrycz, W.: Shadowed sets: representing and processing fuzzy sets. IEEE Trans. Syst. Man Cybern. - PART B: Cybern. 28(1), 103–109 (1998)
Pedrycz, W.: From fuzzy sets to shadowed sets: interpretation and computing. Int. J. Intell. Syst. 24(1), 48–61 (2009)
Pedrycz, W., Vukovich, G.: Granular computing with shadowed sets. Int. J. Intell. Syst. 17(2), 173–197 (2002)
Schweizer, B., Sklar, A.: Espaces métriques aléatories. Comptes Rendus Hebdomadaires des Seances de l’Academie des Sciences 247(23), 2092–2094 (1958)
Sobociński, B.: Axiomatization of a partial system of three-value calculus of propositions. Institute of Applied Logic (1952)
Tahayori, H., Sadeghian, A., Pedrycz, W.: Induction of shadowed sets based on the gradual grade of fuzziness. IEEE Trans. Fuzzy Syst. 21(5), 937–949 (2013)
Torra, V., Narukawa, Y.: Modeling Decisions: Information Fusion and Aggregation Operators. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-68791-7
Walker, E.A.: Stone algebras, conditional events, and three valued logic. IEEE Trans. Syst. Man Cybern. 24(12), 1699–1707 (1994)
William-West, T., Ibrahim, A., Kana, A.: Shadowed set approximation of fuzzy sets based on nearest quota of fuzziness. Ann. Fuzzy Math. Inf. 4(1), 27–38 (2019)
Yager, R.R., Rybalov, A.: Uninorm aggregation operators. Fuzzy Sets Syst. 80(1), 111–120 (1996)
Yao, Y., Wang, S., Deng, X.: Constructing shadowed sets and three-way approximations of fuzzy sets. Inf. Sci. 412, 132–153 (2017)
Zhou, J., Pedrycz, W., Gao, C., Lai, Z., Yue, X.: Principles for constructing three-way approximations of fuzzy sets: a comparative evaluation based on unsupervised learning. Fuzzy Sets Syst. 413, 74–98 (2020)
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Boffa, S., Campagner, A., Ciucci, D., Yao, Y. (2023). Aggregation Operators on Shadowed Sets Deriving from Conditional Events and Consensus Operators. In: Campagner, A., Urs Lenz, O., Xia, S., Ślęzak, D., Wąs, J., Yao, J. (eds) Rough Sets. IJCRS 2023. Lecture Notes in Computer Science(), vol 14481. Springer, Cham. https://doi.org/10.1007/978-3-031-50959-9_14
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