Agricultural Wholesale Market Location Scoring via AHP and Entropy Weights

An Analytic Hierarchy Process (AHP) expert scoring table supporting a location selection framework for Agricultural Product Wholesale Markets (APWMs). The dataset contains integrated subjective (AHP) and objective (entropy weight) criteria weights, optimized using a Genetic Algorithm. It was created by Guizhe Xin and published on figshare in April 2026.

Use Cases

• Validate and compare location candidate scores using the five-phase methodology and seven candidate schemes described.
• Apply the integrated AHP and entropy weight criteria (location, planning, transportation, land use, urban compatibility) to rank alternative facility sites.
• Replicate the Genetic Algorithm-based weight optimization process for other multi-criteria decision analysis problems.
• Use the elastic and rigid evaluation standards for criteria to assess urban compatibility in infrastructure planning.

Strengths

• Integrated weights from two established methods (AHP and entropy weight) for balanced decision criteria.
• Framework validated through a case study selecting an optimal location from seven candidate schemes.
• Openly licensed under CC-BY-4.0 for reuse and modification.

Limitations

• Very small data scale at 83.5 KB, indicating limited raw data volume.
• Specific row count, column names, and sample data are unavailable for direct analysis.
• Case study geography and temporal coverage for the underlying data are not specified.

Provenance

Source

Guizhe Xin via figshare.

Collection Method

Derived from expert scoring and integrated using AHP, entropy weight method, and a Genetic Algorithm for optimization.

Freshness

Last updated in April 2026.