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Hybrid fermatean z-AHP-TOPSIS model for efficient health insurance policy decision making
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DOI：10.1016/j.asoc.2026.115155.png)
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Abstract
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• Enhanced MCDM Approach: Integrates Fermatean fuzzy Z-numbers (FFZN) with AHP and TOPSIS for improved decision-making. • Application to Health Insurance: Evaluates six leading health insurance providers in India based on multiple critical factors. • Superior Differentiation in Rankings: FFZ-AHP-TOPSIS improves ranking precision, especially for closely ranked alternatives. • Contribution to MCDM: Provides a more robust and adaptable tool for handling uncertainty and expert reliability in decision-making. • Future Applications: The methodology has potential applications in finance, logistics, and environmental management, demonstrating its adaptability to complex decision-making scenarios.
Keywords:
Fermatean fuzzy Z-numbers
AHP-TOPSIS
health insurance
multi-criteria decision making
uncertainty modeling
Journal
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6.6
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Citations:
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