What question did this study set out to answer?

The aim is to create a fuzzy-logic-based framework to improve decision-making in uncertain organizational contexts.

From Uncertainty to Decisions: A Fuzzy Logic–Based Theoretical Framework for Intelligent Systems

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This framework enhances decision stability in uncertain environments, using fuzzy logic for improved outcomes.

The aim is to create a fuzzy-logic-based framework to improve decision-making in uncertain organizational contexts.
Developed a multilayer fuzzy decision architecture based on recent advances.
Identified three main research clusters to integrate into the framework.
Defined four interdependent components: contextual conditions, fuzzy mechanisms, moderating structures, and outcomes.
Specified formal properties like monotonicity and adaptive stability for the model.
Demonstrated enhanced robustness and interpretability in decision-making.
Clarified how expert judgment and calibration affect decision stability.
Established a generalizable theoretical foundation for intelligent decision systems.

Martínez-Vivar et al. (2026) studied this question.

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