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This paper explores the integration of quantum computing with fuzzy set theory to create quantum fuzzy sets, which can represent superpositions of multiple fuzzy sets simultaneously. It discusses the mathematical framework for quantum fuzzy sets, their operations, and potential applications in pattern recognition. The author emphasizes the need for a new type of logic to model quantum computation effectively, suggesting that quantum fuzzy sets can enhance the modeling of uncertainty in decision systems.

Author

Cecília Barbosa

Language

EN