Journals / Hacettepe Journal of Mathematics and Statistics / 2020 / Cilt: 49 - Sayı: 2

Complex fuzzy soft matrices with applications

Pages
676–683
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Moreover we develop an algorithm using complex fuzzy soft matrices and apply it to a decision making problem in signal processing.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:In this paper, we introduce complex fuzzy soft matrices and define some new operations on these matrices.
📊
Key Findings & Data:In this paper, we introduce complex fuzzy soft matrices and define some new operations on these matrices.
💡
Conclusion & Impact:Moreover we develop an algorithm using complex fuzzy soft matrices and apply it to a decision making problem in signal processing.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:complex fuzzy sets · comlex fuzzy matrices

Abstract

In this paper, we introduce complex fuzzy soft matrices and define some new operations on these matrices. Moreover we develop an algorithm using complex fuzzy soft matrices and apply it to a decision making problem in signal processing.

🔖

Cite This Article

Khan, M., Anis, S., Song, S. Z., Jun, Y. B. (2022). Complex fuzzy soft matrices with applications. Hacettepe Journal of Mathematics and Statistics, Cilt: 49 - Sayı: 2, 676–683. https://ajindex.com/articles/529654

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (15)

  1. B. Chetia and P.K. Das, Some results of intuitionistic fuzzy soft matrix theory, Adv. Appl. Sci. Res. 3 (1), 412–423, 2012
  2. N. Çağman and S. Enginoğlu, Soft set theory and uni-int decision making, Eur. J. Oper. Res. 207 (2), 848–855, 2010
  3. N. Çağman and S. Enginoğlu, Soft matrix theory and its decision making, Comput. Math. Appl. 59, 3308–3314, 2010
  4. N. Çağman and S. Enginoğlu, Fuzzy soft matrix theory and its applications in decision making, Iran J. Fuzzy Syst. 9 (1), 109–119, 2012
  5. J. Maiers and Y.S. Sherif, Applications of fuzzy set theory, IEEE Trans. Syst. Man Cybern. 15 (1), 175–189, 1985
  6. D. Molodstov, Soft set theory first-results, Comput. Math. Appl. 37 (4-5), 190–31, 1999
  7. S. Mondal and M. Pal, Soft matrices, Afr. J. Math. Comput. Sci. Res. 4 (13), 379–388, 2011
  8. P.K. Maji, R. Biswas, and A.R. Roy, Fuzzy soft sets, J. Fuzzy Math. 9 (3), 589–502, 2001
  9. S. Miodrag and L.D. Petković, Complex interval arithmetic and its applications, John Wiley & Sons, 1998
  10. P. Rajarajeswari and P. Dhanalakshmi, An application of interval valued intuitionistic fuzzy soft matrix theory in medical diagnosis, to appear in Ann. Fuzzy Math. Inform
  11. A.K. Shyamal and M. Pal, Interval-valued fuzzy matrices, J. Fuzzy Math. 14 (3), 583–604, 2006
  12. Y. Yang and J. Chenli, Fuzzy soft matrices and their applications, Lect. Notes Comput. Sc. (Part I) 7002, 618–627, 2011
  13. D. Ramot, R. Milo, M. Friedman, and A. Kandel, Complex fuzzy sets, IEEE Trans. Fuzzy Syst. 10 (2), 171–186, 2012
  14. L.A. Zadeh, Fuzzy sets, Inform. Control 8, 338–353, 1965
  15. G. Zhang, T.S. Dillon, K.-Y. Cai, J. Ma, and J. Lu, Operation properties and δ- equalities of complex fuzzy sets. Int. J. Approx. Reason. 50, 1227–1249, 2009.