Result of Data 2: Empirical Validation for a Centralized DEA Model

Zahra Cheraghali published this dataset on figshare in May 2026. It contains empirical data used to validate a new Data Envelopment Analysis (DEA) model designed for centralized organizations. The model identifies a subset of outstanding decision-making units (DMUs) without predefined constants.

Use Cases

• Validating centralized DEA models based on empirical data
• Identifying high-impact decision-making units within a system based on the described methodology
• Comparing the performance of a proposed mixed-integer nonlinear programming model against other approaches

Strengths

• Dataset is small (5.5 KB), facilitating quick download and inspection
• The associated model guarantees feasibility and boundedness, as stated in the description

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Zahra Cheraghali via figshare

Collection Method

Likely generated from empirical studies mentioned in the description

Freshness

Last updated 2026-05-14 17:45:53