scikit-fuzzy

Driver Drowsiness Detection System - Python-based Desktop application that uses computer vision and machine learning techniques to detect signs of drowsiness in drivers

A hands-on collection of 9 projects exploring neural networks, fuzzy logic, and genetic algorithms, designed to apply computational intelligence to real-world problems with full implementations and thoughtful evaluations.

Proyek ini mengimplementasikan Fuzzy Inference System (FIS) untuk menilai potensi ekonomi regional di Provinsi Sulawesi Tenggara menggunakan metode Mamdani dan Sugeno.

Fuzzy logic is a powerful tool for developing control systems, especially in situations where there is a lot of uncertainty and imprecision. Here is one possible fuzzy system that could be used to solve the Mountain Car Continuous problem.

End-to-end AI system for potato disease detection (Early/Late Blight), severity estimation, yield loss prediction, and fuzzy risk scoring — built with EfficientNetB0, OpenCV, and scikit-fuzzy for precision agriculture.

Federated Fuzzy Inference System

Heart disease risk prediction comparing manual Mamdani FIS, GA-tuned FIS, and ANN sensitivity-based FIS — Streamlit app.

A Fuzzy Expert System for AstronoHybrid fuzzy expert system for sleep apnea detection from ECG signals using calibrated ML ensemble and interpretable fuzzy logic (XAI).mical Object Classification Using SDSS Photometric Data

Contrôleur à logique floue (Mamdani) pour la régulation du chauffage d'un immeuble : implémentation Python sans dépendance, vérifiée par scikit-fuzzy et des tests.

A Python simulation environment for dynamic Computation Offloading in Mobile Edge Computing (MEC) systems. Implements a Fuzzy Logic Controller (FLC) to optimize delay and energy consumption against local and random baselines. Designed for Computational Intelligence course assignments

A Python-based Fuzzy Logic system (Mamdani & Sugeno) to evaluate and classify vehicle performance based on engine capacity, fuel efficiency, and price using 2019-2020 market data.

An academic assessment engine utilizing Mamdani Fuzzy Inference Systems (FIS) to evaluate classroom participation fairly and remove subjectivity by processing participation frequency, contribution quality, and attendance metrics.

Mamdani fuzzy inference system that scores obesity-related health risk for 380,494 survey respondents (Python, scikit-fuzzy)

Comparison of Fuzzy Logic expert systems and Machine Learning models for diabetes risk prediction.

Python REST API for a Mamdani fuzzy inference system that calculates energy-saving priority from electricity consumption, occupancy, and time of day.

A Mamdani fuzzy inference system that estimates a student's stress level from lifestyle and academic factors — study hours, sleep, exercise, social interaction, workload, and more — collected via a real survey and delivered through an interactive desktop GUI.

Comparing Mamdani and Sugeno fuzzy inference systems for house price classification on an imbalanced Kaggle dataset.

Sentiment classification for genuinely ambiguous text, using fuzzy membership functions over TF-IDF features feeding a TensorFlow classifier. 89.56% test accuracy.

RoboMind AI is an uncertainty-aware warehouse robot brain built with Python and AI techniques. It combines goal-stack, nonlinear and hierarchical planning, probabilistic and fuzzy reasoning, game playing, Hopfield and RNN models, and an expert system to support intelligent planning, anomaly detection, and robot fault diagnosis.

Implementation of Fuzzy Inference System (FIS) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for liver disease prediction using the Indian Liver Patient Dataset.