FCMpy: A Python Module for Constructing and Analyzing Fuzzy Cognitive Maps

TL;DR

FCMpy is an open-source Python package that enables constructing, analyzing, and simulating Fuzzy Cognitive Maps using data-driven causal weights, machine learning, and scenario analysis.

Contribution

The paper introduces FCMpy, a comprehensive Python toolkit for building and analyzing Fuzzy Cognitive Maps with machine learning and scenario simulation capabilities.

Findings

Supports deriving causal weights from qualitative data

Allows simulation of system behavior and interventions

Integrates machine learning algorithms for FCM adjustment

Abstract

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).