Agricultural Market Location Criteria Weights from AHP and Entropy Analysis

Pairwise importance scores for five key criteria—location, planning, transportation, land use, and urban compatibility—used to evaluate wholesale market sites. The dataset contains weights derived from an Analytic Hierarchy Process and entropy weight method, integrated via a Genetic Algorithm. It was created by Guizhe Xin and published on figshare in April 2026.

Use Cases

• Validate the integrated subjective (AHP) and objective (entropy) weights for the 'location' and 'transportation' criteria in site selection models.
• Reproduce the Genetic Algorithm optimization process for weight convergence using the provided pairwise comparison scores.
• Apply the five-phase methodology—from region screening to comprehensive evaluation—using the 'planning' and 'land use' criteria weights to rank candidate locations.
• Benchmark the contribution levels of 'urban compatibility' against other criteria in similar infrastructure siting studies.

Strengths

• Weights derived from two established methodologies: Analytic Hierarchy Process and entropy weight method.
• Framework integrates five specific criteria: location, planning, transportation, land use, and urban compatibility.
• Method validated through a case study ranking seven candidate location schemes.

Limitations

• Dataset is very small at 5.5 KB, indicating limited raw data or a summary table only.
• No sample data or column definitions are provided to verify the weight calculations.
• The case study's geographic and temporal context is unspecified, limiting generalizability.

Provenance

Source

Guizhe Xin via figshare.

Collection Method

Weights generated by combining Analytic Hierarchy Process and entropy weight method, then optimized with a Genetic Algorithm implemented in Python.

Freshness

Last updated in April 2026.