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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Later we give the neutrosophic soft $T_{i}$-space and the relationships between them are discussed in detail.
📌 3 Key Takeaways
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Objective & Hypothesis:A neutrosophic set, proposed by Smarandache, considers a truth membership function, an indeterminacy membership function, and a falsity membership function.
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Key Findings & Data:Neutrosophic soft sets combined by Maji have been utilized successfully to model uncertainty in several areas of application such as control, reasoning, pattern recognition, and computer vision.
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Conclusion & Impact:Later we give the neutrosophic soft $T_{i}$-space and the relationships between them are discussed in detail.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Neutrosophic soft set · neutrosophic soft point · neutrosophic soft separation axioms
Abstract
A neutrosophic set, proposed by Smarandache, considers a truth membership function, an indeterminacy membership function, and a falsity membership function. Neutrosophic soft sets combined by Maji have been utilized successfully to model uncertainty in several areas of application such as control, reasoning, pattern recognition, and computer vision. In the present paper, some basic notions of neutrosophic soft sets have been redefined and the neutrosophic soft point concept has been introduced. Later we give the neutrosophic soft $T_{i}$-space and the relationships between them are discussed in detail.
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Cite This Article
GÜNDÜZ, Ç., ÖZTÜRK, T. Y., BAYRAMOV, S. (2019). Separation axioms on neutrosophic soft topological spaces. Turkish Journal of Mathematics, Cilt: 43 - Sayı: 1, 498–510. https://ajindex.com/articles/218066