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AI Summary & Key Takeaways
AI Insight⚡ TL;DR(Too Long; Didn't Read)
In this paper, it is aimed to contribute to the soft set literature by obtaining the distibutions of soft binary piecewise operations over complementary soft binary piecewise plus and gama operations.
📌 3 Key Takeaways
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Objective & Hypothesis:Molodtsov, in 1999, introduced soft set theory as mathematical a tool to deal with uncertainty.
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Key Findings & Data:Since then, different kinds of soft set operations have been defined and used in various types.
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Conclusion & Impact:In this paper, it is aimed to contribute to the soft set literature by obtaining the distibutions of soft binary piecewise operations over complementary soft binary piecewise plus and gama operations.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:SOFT SET · SOFT SET OPERATIONS · CONDITIONAL COMPLEMENTS
Abstract
Molodtsov, in 1999, introduced soft set theory as mathematical a tool to deal with uncertainty. Since then, different kinds of soft set operations have been defined and used in various types. In this paper, it is aimed to contribute to the soft set literature by obtaining the distibutions of soft binary piecewise operations over complementary soft binary piecewise plus and gama operations.
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Cite This Article
SEZGİN, A., AKBULUT, E. (2023). A CONTRIBUTION TO COMPLEMENTARY SOFT BINARY PIECEWISE PLUS AND Γ OPERATIONS. Journal of Amasya University the Institute of Sciences and Technology, Cilt: 4 Sayı: 1, 1–33. https://ajindex.com/articles/952473