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Dergiler / Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi / 2017 / Cilt: 1 - Sayı: 1

A MATLAB TOOLBOX FOR INTERVAL VALUED NEUTROSOPHIC MATRICES FOR COMPUTER APPLICATIONS

Said BROUMİ
Assia BAKALI
Mohamed TALEA
Florentin SMARANDACHE
Sayfa
1–21
Yayın Tarihi
2017-12-29
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

This package contains some essential functions which could help the researchers to do computations on interval valued neutrosophic matrices quickly.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:The concept of interval valued neutrosophic matrices is a generalized structure of fuzzy matrices, intuitionistic fuzzy matrices, interval fuzzy matrices and single valued neutrosophic matrices.
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Temel Bulgular & Veri:Recently many studies have focused on interval valued neutrosophic matrices, In this paper, a variety of operations on interval valued neutrosophic matrices are presented using a new Matlab’ package.
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Sonuç & Katkı:This package contains some essential functions which could help the researchers to do computations on interval valued neutrosophic matrices quickly.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Neutrosophic sets · interval valued neutrosophic matrices · Neutrosophic sets

Özet

The concept of interval valued neutrosophic matrices is a generalized structure of fuzzy matrices, intuitionistic fuzzy matrices, interval fuzzy matrices and single valued neutrosophic matrices. Recently many studies have focused on interval valued neutrosophic matrices, In this paper, a variety of operations on interval valued neutrosophic matrices are presented using a new Matlab’ package. This package contains some essential functions which could help the researchers to do computations on interval valued neutrosophic matrices quickly.

Abstract

The concept of interval valued neutrosophic matrices is a generalized structure of fuzzy matrices, intuitionistic fuzzy matrices, interval fuzzy matrices and single valued neutrosophic matrices. Recently many studies have focused on interval valued neutrosophic matrices, In this paper, a variety of operations on interval valued neutrosophic matrices are presented using a new Matlab’ package. This package contains some essential functions which could help the researchers to do computations on interval valued neutrosophic matrices quickly.

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Bu Makaleye Atıf Yap

BROUMİ, S., BAKALI, A., TALEA, M., SMARANDACHE, F. (2017). A MATLAB TOOLBOX FOR INTERVAL VALUED NEUTROSOPHIC MATRICES FOR COMPUTER APPLICATIONS. Uluslararası Yönetim Bilişim Sistemleri ve Bilgisayar Bilimleri Dergisi, Cilt: 1 - Sayı: 1, 1–21. https://ajindex.com/articles/416537

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Kaynakça (9)

  1. Anand, M.C.J. and Anand, M.E.,(2015) Eigenvaluesand eigen vectors for fuzzy matrix, International Journal of Engineering Research and General Science Volume 3, Issue 1, 2015, pp.878- 890 Bausys, R., & Zavadskas, E. K. (2015). Multıcrıterıa Decısıon Makıng Approach By Vıkor Under Interval Neutrosophıc Set Envıronment. Economic Computation & Economic Cybernetics Studies & Research, 49(4). Broumi, S., M. Talea, A. Bakali, F. Smarandache, (2016).
  2. Interval Valued Neutrosophic Graphs, Critical Review, XII, 2016. pp.5-33.
  3. Broumi, S., A.Bakali, M.Talea, F.Smarandache, R.Verma,(2017) Computing Minimum Spanning Tree In Interval Valued Bipolar Neutrosophic Environment,International Journal of Modeling and Optimization, Vol. 7, No. 5, 2017, pp300-304. Broumi, S., Le Hoang, F. Smarandache, A. Bakali, M.Talea, G.Selvachandran, Kishore Kumar.P.K, Computing Operational Matrices in Neutrosophic Environments: A Matlab toolbox, submitted Broumi, S., Smarandache, F., Talea, M., & Bakali, A. (2016). Operations on interval valued neutrosophic graphs. Infinite Study. Graphs, chapter in book- New Trends in Neutrosophic Theory and Applications- FlorentinSmarandache and SurpatiPramanik (Editors), pp. 231-254. ISBN 978-1-59973-498-9
  4. Broumi, S., Talea, M., Smarandache, F., & Bakali, A. (2016, December). Decision-making method based on the interval valued neutrosophic graph. In Future Technologies Conference (FTC) (pp. 44-50).
  5. IEEE. C.Jaisankar, S.Arunvasan and R.Mani.,(2016) On Hessenberg of Triangular fuzzy matrices, IJSRET, V-5(12), 2016,pp.586-591
  6. Deli, I. (2017). Interval-valued neutrosophic soft sets and its decision making. International Journal of Machine Learning and Cybernetics, 8(2), 665-676.
  7. Dinagar, D. S., & Latha, K. (2013). Some types of type-2 triangular fuzzy matrices. International Journal of Pure and Applied Mathematics, 82(1), 21-32.
  8. Garg, H. (2016). An improved score function for ranking neutrosophic sets and its application to decision-making process. International Journal for Uncertainty Quantification, 6(5). Garg, H. (2017). Non-linear programming method for multi-criteria decision making problems under interval neutrosophic set environment. Applied Intelligence, 1-15.
  9. Huang, Y. H., Wei, G. W., & Wei, C. (2017). VIKOR method for interval neutrosophic multiple attribute group decision-making. Information, 8(4), 144. doi:10.3390/info8040144 Jaisankar, C., and Mani, R., (2017) Some Properties of Determinant of Trapezoidal Fuzzy Number Matrices, International Jour