NEAR APPROXIMATIONS IN VECTOR SPACES

Year 2020, Volume: 3 Issue: 2, 114 - 120, 31.07.2020

Hatice Taşbozan

https://doi.org/10.33773/jum.822384

Cited By: 2

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

Lower and upper approximations , Near sets , Near soft sets , Near soft vector space , Near subsets in the vector space , Soft sets.

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