FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps
This provides a tool for researchers and practitioners in fields like systems modeling and decision-making to work with Fuzzy Cognitive Maps more efficiently.
The authors introduced FCMpy, a Python module for constructing and analyzing Fuzzy Cognitive Maps, enabling tasks like deriving causal weights from qualitative data, simulating system behavior, applying machine learning algorithms for adjustment and classification, and implementing scenario analysis.
FCMpy is an open source package in Python for building and analyzing Fuzzy Cognitive Maps. More specifically, the package allows 1) deriving fuzzy causal weights from qualitative data, 2) simulating the system behavior, 3) applying machine learning algorithms (e.g., Nonlinear Hebbian Learning, Active Hebbian Learning, Genetic Algorithms and Deterministic Learning) to adjust the FCM causal weight matrix and to solve classification problems, and 4) implementing scenario analysis by simulating hypothetical interventions (i.e., analyzing what-if scenarios).