Research Article

NEAR APPROXIMATIONS IN VECTOR SPACES

Volume: 3 Number: 2 July 31, 2020
EN

NEAR APPROXIMATIONS IN VECTOR SPACES

Abstract

Near set theory presents a fundamental basis for observation, comparison and classification of perceptual granules. Soft set theory, which is initiated by Molodtsov [1], is proposed as a general framework to model vagueness. Combine the soft sets approach with near set theory giving rise to the new concepts of soft nearness approximation space. Tasbozan et al. [2] introduce the soft sets based on a near approximation space. The relations between near sets and algebraic systems endowed with two binary operations such as rings, groups have been considered. This paper concerned a relationship between near approximation and vector spaces.

Keywords

References

  1. D. Molodtsov, Soft set theory first results, Comp. Math. Appl. 37 (1999) 19-31.
  2. H. Taşbozan, I. İcen, N. Bağırmaz, A.F. Ozcan, Soft sets and soft topology on nearness approximation spaces, Filomat. 31(13) (2017) 4117-4125.
  3. Z. Pawlak, Rough sets, Int. J. Comput. Inform. Sci. 11 (1982) 341{356.
  4. Z. Pawlak, Classification of Objects by means of Attributes, Institute for Computer Science, Polish Academy of Sciences, (1981) Report 429.
  5. J.F. Peters, Near sets, General theory about nearness of objects, Appl. Math. Sci. 1(53) (2007) 2029-2609.
  6. J.F. Peters, Near sets, Special theory about nearness of objects, Fundam. Inform. 75 (2007) 407-433.
  7. J.F. Peters, P. Wasilewsk, Foundations of near sets, Information Sciences. 179 (2009) 3091- 3109.
  8. J.F. Peters, Classification of perceptual objects by means of features, Int. J. Info. Technol. Intell. Comput. 3(2) (2008) 1-35.

Details

Primary Language

English

Subjects

Mathematical Sciences

Journal Section

Research Article

Authors

Publication Date

July 31, 2020

Submission Date

November 6, 2020

Acceptance Date

February 11, 2021

Published in Issue

Year 2020 Volume: 3 Number: 2

APA
Taşbozan, H. (2020). NEAR APPROXIMATIONS IN VECTOR SPACES. Journal of Universal Mathematics, 3(2), 114-120. https://doi.org/10.33773/jum.822384
AMA
1.Taşbozan H. NEAR APPROXIMATIONS IN VECTOR SPACES. JUM. 2020;3(2):114-120. doi:10.33773/jum.822384
Chicago
Taşbozan, Hatice. 2020. “NEAR APPROXIMATIONS IN VECTOR SPACES”. Journal of Universal Mathematics 3 (2): 114-20. https://doi.org/10.33773/jum.822384.
EndNote
Taşbozan H (July 1, 2020) NEAR APPROXIMATIONS IN VECTOR SPACES. Journal of Universal Mathematics 3 2 114–120.
IEEE
[1]H. Taşbozan, “NEAR APPROXIMATIONS IN VECTOR SPACES”, JUM, vol. 3, no. 2, pp. 114–120, July 2020, doi: 10.33773/jum.822384.
ISNAD
Taşbozan, Hatice. “NEAR APPROXIMATIONS IN VECTOR SPACES”. Journal of Universal Mathematics 3/2 (July 1, 2020): 114-120. https://doi.org/10.33773/jum.822384.
JAMA
1.Taşbozan H. NEAR APPROXIMATIONS IN VECTOR SPACES. JUM. 2020;3:114–120.
MLA
Taşbozan, Hatice. “NEAR APPROXIMATIONS IN VECTOR SPACES”. Journal of Universal Mathematics, vol. 3, no. 2, July 2020, pp. 114-20, doi:10.33773/jum.822384.
Vancouver
1.Hatice Taşbozan. NEAR APPROXIMATIONS IN VECTOR SPACES. JUM. 2020 Jul. 1;3(2):114-20. doi:10.33773/jum.822384

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