EN
(α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets
Abstract
Bipolar fuzzy soft set theory, which is a very useful hybrid set in decision making problems, is a mathematical model that has been emphasized especially recently. In this paper, the concepts of (α,β)-cuts, first type semi-strong (α,β)-cuts, second type semi-strong (α,β)-cuts, strong (α,β)-cuts, inverse (α,β)-cuts, first type semi-weak inverse (α,β)-cuts, second type semi-weak inverse (α,β)-cuts and weak inverse (α,β)-cuts of bipolar fuzzy soft sets were introduced together with some of their properties. In addition, some distinctive properties between (α,β)-cuts and inverse (α,β)-cuts were established. Moreover, some related theorems were formulated and proved. It is further demonstrated that both (α,β)-cuts and inverse (α,β)-cuts of bipolar fuzzy soft sets were useful tools in decision making.
Keywords
References
- Zadeh, L. A., Fuzzy sets, Inf. Control. 8 (1965), 338-353.
- Molodtsov, D., Soft set theory-first results, Computers and Mathematics with Applications, 37 (1999), 19-31. https://doi.org/10.1016/S0898-1221(99)00056-5
- Sun Z., Han, J., Inverse alpha-Cuts and Interval [a; b)-Cuts, Proceedings of the International Conference on Innovative Computing, Information and Control (ICICIC2006), 30 August-1 September, Beijing, IEEE Press, (2006), 441-444. Doi:10.1109/ICICIC.2006.105
- Shabir, M., Naz, M., On bipolar soft sets, Retrieved from https://arxiv.org/abs/1303.1344, 2013.
- Maji, P. K., Biswas, R., Roy, A. R., Soft set theory, Computers and Mathematics with Applications, 45(4-5) (2003), 555-562. Doi:10.1016/S0898-1221(03)00016-6
- Ozturk, T. Y., On bipolar soft topological spaces, Journal of New Theory, 20 (2018), 64-75.
- Mordeson, J. N., Malik, D. S., Fuzzy Commutative Algebra, World Scientific Publishing, Singapore, 1998.
- Mordeson, J. N., Bhutani, K. R., Rosenfeld, A., Fuzzy Group Theory, Springer, New York, 2005.
Details
Primary Language
English
Subjects
Mathematical Sciences , Applied Mathematics
Journal Section
Research Article
Authors
Orhan Dalkılıç
*
0000-0003-3875-1398
Türkiye
Publication Date
December 31, 2021
Submission Date
July 16, 2020
Acceptance Date
January 30, 2021
Published in Issue
Year 1970 Volume: 70 Number: 2
APA
Dalkılıç, O. (2021). (α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 70(2), 582-599. https://doi.org/10.31801/cfsuasmas.770623
AMA
1.Dalkılıç O. (α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2021;70(2):582-599. doi:10.31801/cfsuasmas.770623
Chicago
Dalkılıç, Orhan. 2021. “(α, β)-Cuts and Inverse (α, β)-Cuts in Bipolar Fuzzy Soft Sets”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 70 (2): 582-99. https://doi.org/10.31801/cfsuasmas.770623.
EndNote
Dalkılıç O (December 1, 2021) (α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 70 2 582–599.
IEEE
[1]O. Dalkılıç, “(α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets”, Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat., vol. 70, no. 2, pp. 582–599, Dec. 2021, doi: 10.31801/cfsuasmas.770623.
ISNAD
Dalkılıç, Orhan. “(α, β)-Cuts and Inverse (α, β)-Cuts in Bipolar Fuzzy Soft Sets”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics 70/2 (December 1, 2021): 582-599. https://doi.org/10.31801/cfsuasmas.770623.
JAMA
1.Dalkılıç O. (α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2021;70:582–599.
MLA
Dalkılıç, Orhan. “(α, β)-Cuts and Inverse (α, β)-Cuts in Bipolar Fuzzy Soft Sets”. Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, vol. 70, no. 2, Dec. 2021, pp. 582-99, doi:10.31801/cfsuasmas.770623.
Vancouver
1.Orhan Dalkılıç. (α, β)-cuts and inverse (α, β)-cuts in bipolar fuzzy soft sets. Commun. Fac. Sci. Univ. Ank. Ser. A1 Math. Stat. 2021 Dec. 1;70(2):582-99. doi:10.31801/cfsuasmas.770623
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