Dynamic Fuzzy Cognitive Mapping (FCM)
Expert beliefs are modeled as a weighted causal graph of fuzzy concepts; step-by-step simulation reveals the system’s dynamic behavior over a time horizon.
Policy making, scenario analysis, indicator forecasting and modeling of complex managerial or technology systems.
Experts’ weighted adjacency matrix (fuzzy or Likert), concept list and simulation steps.
Cognitive map, connection-weight matrix, concept behavior over the horizon, scenario analysis and a full assumptions report.
Project file, Do-file / R & Python scripts — 100% reproducible results
Editable Word file, ready for chapter 4 or an ISI/Scopus paper
Path models, causal plots, volatility & Pareto — 300 DPI / SVG
Full statistical interpretation + support until defense or acceptance
Common questions
FCM vs DEMATEL?
DEMATEL maps static causality; FCM simulates dynamic behavior through feedback loops over time.
What does the dynamic version add?
Concepts update each step by connection weights and every indicator’s trajectory is plotted over the horizon.
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