2020
DOI: 10.31801/cfsuasmas.749946
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An Approach to Pre-Separation Axioms in Neutrosophic Soft Topological Spaces

Abstract: In this study, we introduce the concept of neutrosophic soft preopen (neutrosophic soft pre-closed) sets and pre-separation axioms in neutrosophic soft topological spaces. In particular, the relationship between these separation axioms are investigated. Also, we give a new de…nition for neutrosophic soft topological subspace and de…ne neutrosophic soft pre irresolute soft and neutrosophic pre irresolute open soft functions.

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Cited by 7 publications
(2 citation statements)
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“…This new type of topological space has provided an opportunity for mathematicians to come up with new ideas. In particular , Acikgoz and Esenbel made good use of this new opportunity in their studies as in [3,4]. The main purpose of this study is to interpret these new ideas in neutrosophic soft topological spaces.…”
Section: Introductionmentioning
confidence: 99%
“…This new type of topological space has provided an opportunity for mathematicians to come up with new ideas. In particular , Acikgoz and Esenbel made good use of this new opportunity in their studies as in [3,4]. The main purpose of this study is to interpret these new ideas in neutrosophic soft topological spaces.…”
Section: Introductionmentioning
confidence: 99%
“…Arar and Jafari [3], Arokiarani et al [4], Bageerathi and Puvaneswari [5], Das and Pramanik [6], Imran et al [7], Iswarya and Bageerathi [8], Javyparthasarathy et al [9], Mary and Trinita [10], Narmatha et al [13], and Shanthi et al [16] investigated properties and characterizations of Neutrosophic closed and open sets as well as applications of these Neutrosophic closed and open sets in different notions in Neutrosophic topological spaces. Acikgoz and Esenbel [1], Babu and Aswini [2], Mehmood et al [11], Al-Nafee [12] and Puvaneswari et al [14] investigated properties and characterizations of separation axioms by using different types of Neutrosophic closed sets in Neutrosophic topological spaces. Moldstov introduced soft set theory.…”
Section: Introductionmentioning
confidence: 99%