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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
Sufficient conditions show that a fuzzy $\gamma_{\mu}$-locally finite GFTS meets specific criteria for pre-$T_{2}$ space.
📌 3 Key Takeaways
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Objective & Hypothesis:Within a generalized fuzzy topological space (GFTS), this study introduces fuzzy $\gamma_{\mu}$-open and closed sets.
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Key Findings & Data:The fuzzy minimal $\gamma_{\mu}$-open sets notion is introduced and its key elements are studied.
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Conclusion & Impact:Sufficient conditions show that a fuzzy $\gamma_{\mu}$-locally finite GFTS meets specific criteria for pre-$T_{2}$ space.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Fuzzy $\gamma_\mu$-open · fuzzy regular operation · fuzzy $\gamma_\mu$-locally finite.
Abstract
Within a generalized fuzzy topological space (GFTS), this study introduces fuzzy $\gamma_{\mu}$-open and closed sets. The fuzzy minimal $\gamma_{\mu}$-open sets notion is introduced and its key elements are studied. Sufficient conditions show that a fuzzy $\gamma_{\mu}$-locally finite GFTS meets specific criteria for pre-$T_{2}$ space.
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Cite This Article
A, S., M, M. S., Özel, C. (2026). Applications of Operations on Fuzzy Minimal Generalized Open Sets. Turkish Journal of Mathematics and Computer Science, Volume: 18 Issue: 3. https://doi.org/10.47000/tjmcs.1837348