MATHEMATICAL MODELS OF DECISION-MAKING IN MULTI-LEVEL INFORMATION SYSTEMS BASED ON HIGH-LEVEL LOGICAL SETS
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Higher-Order Fuzzy Sets, Multi-Level Information Systems, Decision-Making, Mathematical Models, Uncertainty, Fuzzy Logic##article.abstract##
This paper explores a novel framework for decision-making in multi-level information systems using higher-order logical (fuzzy) sets. Traditional single-level systems often lack the flexibility to effectively handle uncertainty and imprecision in real-world data. By extending fuzzy logic to a higher-order domain, our proposed approach allows for enhanced adaptability and more accurate modeling of complex systems. Experimental results demonstrate that these advanced fuzzy-based models improve decision quality, reduce computational complexity, and offer robust solutions across various domains.
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