Federated High Order Randomized Fuzzy Cognitive Maps
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Updated
Mar 16, 2024 - Python
Federated High Order Randomized Fuzzy Cognitive Maps
The InCognitive App provides a GUI and backend code for Fuzzy Cognitive Map (FCM) simulations. It's functionalities are: a) stand alone FCM simulation and b) combination of FCM and Monte Carlo (MC) simulation.
R code for aggregating fuzzy cognitive maps, both by identity diversity and cognitive diversity, as well as determining network structure measures and calculating micro-motif counts.
This repository is the source code for Wavelet-HFCM of the paper 'Time Series Forecasting based on High-Order Fuzzy Cognitive Maps and Wavelet Transform'
High-order fuzzy cognitive maps for multivariate data forecasting in Python 3.8.
Modeling Zero Energy Building (ZEB) using fuzzy cognitive maps(FCM)
Fuzzy cognitive maps python library
This repository contains source code to the article: Piotr Szwed: Classification and feature transformation with Fuzzy Cognitive Maps, Applied Soft Computing, Elsevier 2021
Using fuzzy cognitive maps for multivariate data forecasting in Python 3.8.
Java Fuzzy Cognitive Maps
Dental Caries Degree Detection based on Fuzzy Cognitive Maps and Genetic Algorithm
Estimates the inference of a Fuzzy Cognitive Map (FCM). Provides a selection of 6 different inference rules and 4 threshold functions in order to obtain the inference of the FCM.
Samples for JFCM - Java Fuzzy Cognitive Map library
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