CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

The Parameterization Reduction of Soft Point and its Applications with Soft Matrix

by Guzide Senel
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 164 - Number 1
Year of Publication: 2017
Authors: Guzide Senel
10.5120/ijca2017913564

Guzide Senel . The Parameterization Reduction of Soft Point and its Applications with Soft Matrix. International Journal of Computer Applications. 164, 1 ( Apr 2017), 1-6. DOI=10.5120/ijca2017913564

@article{ 10.5120/ijca2017913564,
author = { Guzide Senel },
title = { The Parameterization Reduction of Soft Point and its Applications with Soft Matrix },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2017 },
volume = { 164 },
number = { 1 },
month = { Apr },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume164/number1/27444-2017913564/ },
doi = { 10.5120/ijca2017913564 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:10:01.702939+05:30
%A Guzide Senel
%T The Parameterization Reduction of Soft Point and its Applications with Soft Matrix
%J International Journal of Computer Applications
%@ 0975-8887
%V 164
%N 1
%P 1-6
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The innovation about soft point in this study is, soft point’s soft matrix form which were not described before is defined for each set of parameters. The matrix representation of soft points is useful for storing all soft points that can be obtained in all different parameters. The proposed soft matrix provides every soft point that changes with each parameter that takes place in a soft set is proved and showed that it enables detailed examination in application of soft set theory.

References
  1. H. Aktas. and N. C. a?gman, Soft sets and soft groups, Inform. Sci. 177 (2007), 2726-2735.
  2. M.I. Ali, F. Feng, X. Liu, W.K. Min and M. Shabir, On some new operations in soft set theory, Comput. Math. Appl. 57 (2009), 1547-1553.
  3. A. Ayg?uno?glu, H. Ayg?un, Some notes on soft topological spaces, Neural Comp. Appl. (2011), 521-011-0722-3.
  4. K.V. Babitha and J.J. Sunil, Soft set relations and functions, Comput. Math. Appl., 607 (2010), no. 7, 1840-1849.
  5. N.C. a?gman and S. Engino?glu, Soft matrix theory and its decision making, Comput. Math. Appl. 59 (2010), 3308-3314.
  6. N.C. a?gman and S. Engino?glu, Soft set theory and uni-int decision making, Eur. J. Oper. Res. 207 (2010), 848-855.
  7. N. C¸ a?gman, Contributions to the Theory of Soft Sets, Journal of New Result in Science, 4 (2014) 33-41.
  8. S. Das and S.K. Samanta, Soft Real Sets, Soft Real Numbers and Their Properties, J. Fuzzy Math. 20 (3) (2012) 551-576.
  9. S. Das and S.K. Samanta, Soft Metric Spaces, Annals of Fuzzy Mathematics and Informatics, 6(1) (2013) 77-94.
  10. N. TridivJyoti, S. D. Kumar, Fuzzy Soft Sets from a New Perspective Int. J. Latest Trends Computing, Vol-2 No 3 ( 2011) , pp.439-450.
  11. N. TridivJyoti, S. D. Kumar, M. Bora, On Fuzzy Soft Matrix Theory, International Journal of Mathematical Archive ISSN 2229-5046, 3(2)v(2012),pp.491-500.
  12. J. Kim, A. Baartmans. Determinant Theory for Fuzzy Matrices, Fuzzy Sets and Systems, 29(1989), pp.349-356.
  13. J. Kim, Determinant theory for Fuzzy and Boolean Matices, Congressus Numerantium Utilitus Mathematica Pub ,(1978), pp.273-276.
  14. K. Kim and F. Roush, Generalized fuzzy matrices, Fuzzy Sets and Systems, 4 (1980), pp.293-315.
  15. F. Feng, X.Y. Liu, V. Leoreanu-Fotea, Y.B. Jun, Soft sets and soft rough sets, Inform. Sci. 181 (2011), no. 6, 1125-1137.
  16. W. Gau, L, D. J. Buehrer, Vague sets, IEEE Transactions on Systems, Man, and Cybernetics, 23, 610-614, 1993.
  17. P.K. Maji, A.R. Roy and R. Biswas, An application of soft sets in a decision making problem, Comput. Math. Appl. 44 (2002), 1077-1083.
  18. P. Majumdar and S. K. Samanta, On soft mappings, Comput. Math. Appl. 60 (2010) 2666-2672.
  19. D. Molodtsov, Soft set theory-first results, Comput. Math. Appl. 37, (1999) 19-31.
  20. D. Molodtsov, The Theory of Soft Sets (in Russian). URSS Publishers, Moscow, (2004).
  21. D.A. Molodtsov, V. Yu. Leonov and D. V. Kovkov, Soft sets technique and its application, Nechetkie Sistemy i Myagkie Vychisleniya 1 (2006), no. 1, 8-39.
  22. S. Mondal and M. Pal, Soft matrices, African Journal of Mathematics and Computer Science Research Vol. 4(13), pp. 379-388, (2011).
  23. C. Moore, Recursion theory on the reals and continuous-time computation, Theoretical Computer Science, 162 (1), 2344, (1996).
  24. Z. Pawlak, Rough sets, International Journal of Parallel Programming 11 (5), 341356, (1982).
  25. G. S. enel, Soft Metric Spaces, Gaziosmanpas. a University Graduate School of Natural and Applied Sciences Department of Mathematics Ph.D. Thesis, (2013), 92.
  26. G. S. enel, A Comparative Research on the Definition of Soft Point, IJCA, accepted.
  27. M. G. Thomason, Convergence of powers of a fuzzy matrix, J. Math Anal. Appl. 57 (1977), pp.476-480.
  28. I. Zorlutuna, M. Akda?g, W.K. Min, S. Atmaca, Remarks on Soft Topological Spaces, Annals of Fuzzy Mathematics and Informatics, 3 (2) (2012), 171-185.
Index Terms

Computer Science
Information Sciences

Keywords

Soft set soft point soft matrix soft matrix form of soft point

Powered by PhDFocusTM