fuzzy-systems

An open source library for Fuzzy Time Series in Python

Type 1 and Interval Type 2 Fuzzy Logic Systems in Python

Matlab source code of the paper "D. Wu and X. Tan, Multitasking Genetic Algorithm (MTGA) for Fuzzy System Optimization, IEEE Trans. on Fuzzy Systems, 28(6), pp. 1050-1061, 2020."

Matlab source code of the paper "Y. Cui, D. Wu* and J. Huang*, "Optimize TSK Fuzzy Systems for Classification Problems: Mini-Batch Gradient Descent with Uniform Regularization and Batch Normalization," IEEE Trans. on Fuzzy Systems, 28(12):3065-3075, 2020." Python source code is available at https://github.com/YuqiCui/TSK_BN_UR

Matlab source code of the paper "D. Wu, Y. Yuan, J. Huang and Y. Tan*, Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA), IEEE Trans. on Fuzzy Systems, 28(5), pp. 1003-1015, 2020."

Fuzzy system design with BOHACHEVSKY FUNCTION.

source code for FCM-RDpA paper

Matlab source code of the paper "D. Wu and J.M. Mendel, Patch Learning, IEEE Trans. on Fuzzy Systems, 28(9):1996-2008, 2020"

ELEC 8330: Computational Intelligence [CI] | Semester IV | MEng Computer Engineering

This is a sample fuzzy systems for a food cooking problem. The article is written in https://tealfeed.com/artificial-intelligence-using-fuzzy-systems-am2lq

Fuzzy sets and fuzzy logic theory implementations in Swift.

An Unsupervised Fuzzy Rule-based System for Sentiment Analysis

🎛️ The code and database used for the creation of FLC. The project was done for Evolutionary and Fuzzy Systems module at Coventry University.

Implementation of 3 Articles for My Fuzzy Systems Course

Fuzzy computing for Python: fuzzy sets, membership functions, linguistic scales, operators and defuzzification. Dependency-free scalar core, optional NumPy batches, reproducible neural examples and quickstarts for people and AI agents.

Familiarization with Fuzzy Logic Designer Toolbox of MATLAB. Implementation of rules base, for a PI Fuzzy controller, a self driving car and development of neuro-fuzzy models.

A project about fake news detection, performed at Università degli Studi di Milano.

fuzzy rule / RBFN (GN) / RBFN (PSO)/ RBFN(GN PSO)

Bayesian TSK fuzzy regression: corrected spike-and-slab model averaging, predictive uncertainty, frozen results and correctness tests. Research software; no journal publication claimed.