SW40703 Mini Project

ANFIS module for data prediction

Contains the projects made during the course CSD 311 Artificial Intelligence taught by Prof. Saroj Kaushik

This paper presents the design and development of a Fuzzy Inference Systems (FIS) to provide advice and assist in the decision- making process for job application into the cyber security industry.

Fuzzy Sharper is a C# that allows you to create your own Fuzzy Expert System

Fuzzy Inferences System-Quality of Telecommunication Services : (http://waset.org/publications/10000204/assessment-the-quality-of-telecommunication-services-by-fuzzy-inferences-system)

Expert System of Fuzzy Inference System Implementation in Alopecia Areata Disease

Fuzzy Inference System using MATLAB

Artificial intelligence and concurrent programming in MATLAB

Rainfall Prediction App is an application designed to predict rainfall in the Banyuasin Regency, Indonesia. This project serves as a final project developed to complete the undergraduate program at the University of Sriwijaya. The method employed involves the Tsukamoto Fuzzy Inference System optimized using genetic algorithms.

C++ code generation from FIS Type-1

Homework solutions for Fuzzy, Evolutionary and Neuro-computing ("Neizrazito, evolucijsko i neuro računarstvo") course at FER 2020/21 led by doc. dr. sc. Marko Čupić

Assessing a Vulnerability Index to each healthcare service facility in Peru using medical, road network and population density open data as inputs to a Fuzzy Inference System.

detecting fake news using linguistic features. ML techniques ranging from hard and soft-clustering to fuzzy inference systems and neural networks. included FMID5 - Fuzzy Model Identification toolbox in MATLAB

Fuzzy inference system optimized by a genetic algorithm (Case study: Fuzzified hedging rules for a reservoir operation)

FAEICA-Algorithm (Fuzzy adaptive optimisation method)

An Emergency Alert Android App using Mamdani Fuzzy Logic

fuzzy logic inference system (in golang)

An binary classification model based on principle component analysis and fuzzy inference system. It takes brain MRI images and predicts whether the MRI image contains a tumor or not.