Krasny Treugolnik — AI–MCDA benchmark of generative text-to-image models for industrial-heritage visualization (code and data)

Reproducibility code and data for the manuscript "Selecting Generative Text-to-Image Models for Industrial-Heritage Visualization: a Design-Code-Constrained AHP-TOPSIS Benchmark with Computational Cross-Validation (Krasny Treugolnik, Saint Petersburg)." Ten generative text-to-image systems are compared on five standardized architectural scenes under an explicit heritage design code, ranked with AHP-TOPSIS (consistency ratio 0.012) and cross-validated with a computational image-analysis pipeline (criterion collinearity, rater-noise bootstrap, weighting stress test, and a leave-one-out stylistic-fingerprint classifier). Includes the expert decision matrix, computational image features, weights, ranking, all Python analysis scripts, the design code and standardized prompts. Source repository: https://github.com/i-SAVE/krasny-treugolnik-mcda