August 20, 2025Open Access

Comparitive Analysis between AHP & Fuzzy AHP: A Case Study on Flood Susceptibility of Koshi River Basin

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Authors

AKA Karki BCB. S. Chaudhary DKD Khadka

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Implication

The report compares AHP and fuzzy AHP models for flood susceptibility assessment in the Koshi River Basin, indicating high-risk areas and model effectiveness.

Key Points

Fuzzy AHP outperformed AHP in predicting flood-prone areas, achieving an AUC of 0.802 compared to AHP's 0.758.
Most of the Koshi Basin falls under moderate flood risk, with low-risk zones making up about 35% of the area.
The study employed the Area Under the Curve (AUC) to evaluate both models, showcasing their capability in decision-making.
Topographical wetness index was the most significant criterion for flood assessment in both models.

Cite This Study

Karki et al. (2025) studied this question.

synapsesocial.com/papers/68af3e34cf1dd9ea359eac97 https://doi.org/10.3126/jlmge.v7i1.83217

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Implication

The report compares AHP and fuzzy AHP models for flood susceptibility assessment in the Koshi River Basin, indicating high-risk areas and model effectiveness.

Comparitive Analysis between AHP & Fuzzy AHP: A Case Study on Flood Susceptibility of Koshi River Basin

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Member takes

Implication

Key Points

Cite This Study

Comparitive Analysis between AHP & Fuzzy AHP: A Case Study on Flood Susceptibility of Koshi River Basin

Discussion

Member takes

Implication

Key Points

Cite This Study

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