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Advanced Intuitionistic Fuzzy Weighted Geometric Aggregation Operator for the Intuitionistic Fuzzy Numbers and Its Application to Multi-attribute Decision-making

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This approach presents a new aggregation operator for intuitionistic fuzzy numbers, suggesting improved rankings in multi-attribute decision-making.

The new aggregation operator improves rankings in uncertain decision-making scenarios, offering more reliable alternatives.
Key properties of the advanced intuitionistic fuzzy weighted geometric operator include idempotency and monotonicity, ensuring its reliability.
The proposed method successfully overcomes limitations seen in existing aggregation approaches for multi-attribute decision-making.
Application to three decision-making problems validates the robustness and effectiveness of the method introduced.

Singh et al. (2025) studied this question.

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This approach presents a new aggregation operator for intuitionistic fuzzy numbers, suggesting improved rankings in multi-attribute decision-making.