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The goal is to improve decision making under uncertainty using novel aggregation operators in a complex Fermatean fuzzy environment.

March 17, 2026Scientific ReportsOpen Access

A novel complex Fermatean fuzzy formalism with improved score function and aggregation operators

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The goal is to improve decision making under uncertainty using novel aggregation operators in a complex Fermatean fuzzy environment.
Developed a new score function for complex Fermatean fuzzy numbers.
Introduced two new ordered weighted aggregation operators: CFFOWA and CFFOWG.
Applied the operators to select optimal systems for traffic control.
Conducted comparative analysis with existing decision-making methods.
Demonstrated improved decision-making reliability with the proposed methods.
Highlighted significant advantages in applying CFFOWA and CFFOWG for signal processing.
Showed enhanced performance compared to traditional aggregation techniques.

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A novel method enhances decision making in signal processing and traffic control using aggregation operators.

Razaq et al. (2026) studied this question.

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