CECE Research Materials: A New Explainable Multi-Criteria Decision-Making Methodology

Reproducibility materials for Coupled Evidence and Certificate Explanation (CECE), a new explainable multi-criteria decision-making methodology for finite-domain coupled min-max normalization, Pearson CRITIC weighting, and registered additive, Euclidean TOPSIS and Usual PROMETHEE II ranking pipelines. Version 2.0.0 retains the original four-leaf computational snapshots separately from the eight-leaf extension, the second prospective supplier score-matrix experiment, the audited MDS point comparison, typed graded measures, and scientific figure sources. The package includes attributed input specifications, frozen protocols, retained results, verification procedures, Supplement S1, and a dated review-provenance workbook. Published matrices are attributed to their sources. Hypothetical scenario variations are not new measurements. Constructor-free checks share rational interval primitives with the constructors. The collection supports the specified finite-domain computational experiments; human usefulness, clinical validity and continuous-domain guarantees were not evaluated. MATLAB figure sources were checked but not executed in MATLAB. Licensing: MIT applies to the creators' original software; CC BY 4.0 applies to their original research content. Published input facts, source-based components and embedded font programs retain their separate provenance and applicable terms. See LICENSES.md, LICENSE_MAP.json and THIRD_PARTY_NOTICES.md inside the archive for the precise component scope. Copyrighted article PDFs and private author/reviewer correspondence are excluded.