Published September 27, 2026 | Version 1.0.0

certfcm: code, data and results for "Certified scenario analysis of fuzzy cognitive maps under interval weight uncertainty"

Authors/Creators

  • 1. Korea Army Academy at Yeongcheon

Description

Python implementation (certfcm) of certified scenario analysis for sigmoid and hyperbolic-tangent fuzzy cognitive maps with clamped concepts under interval uncertainty in the weights and steepness: verified interval arithmetic, a box-wise weighted-contraction well-posedness certificate, coupled slope and adjoint enclosures of scenario effects, and a verified branch-and-bound procedure. The archive contains the package, the synthetic-instance generator with all random seeds, the experiment, analysis and figure/table scripts, the raw results (JSON/JSONL) and soundness-validation logs, and unchanged copies of the openly licensed retail FCM (Petukhova & Fachada 2022, doi:10.5281/zenodo.6046893) and Foodlevers FCM (Ciolfi 2024, doi:10.5281/zenodo.14516877) data. See README.md for reproduction commands.

Files

certfcm_code_data_results.zip

Files (611.5 kB)

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Additional details

Funding

National Research Foundation of Korea
NRF-2022R1F1A1062959
National Research Foundation of Korea
RS-2026-25480141

Software

Programming language
Python