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January 1, 2026International Journal of Data Mining Modelling and Management

Predicting Building Fitness Ranks Using a Hybrid Evaluation Method on Earthquake Damage Data

Moram Vishnu Vardhana Rao Aparna Chaparala Kusuma Kumari Katakam G.Apparao Naidu N. D. S. S. Kiran Relangi Radhika Sajja

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Key Points

Predicting building fitness ranks depends on earthquake damage data, highlighting vulnerability.
A hybrid evaluation method shows potential for accurate assessment of building conditions post-quake.
Analysis incorporates both qualitative and quantitative data to improve ranking accuracy after earthquakes.
Findings support targeted interventions to enhance resilience in earthquake-prone areas.

Implication

Observational analysis predicts building fitness ranks from earthquake damage data, suggesting improved safety strategies.

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Cite This Study

Rao et al. (2026) studied this question.

synapsesocial.com/papers/69a7607fc6e9836116a2d47d https://doi.org/10.1504/ijdmmm.2026.10076121

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