fuzzylite: a fuzzy logic control library in C++

A collection of Benchmark functions for numerical optimization problems

Type 1 and Interval Type 2 Fuzzy Logic Systems in Python

pyfuzzylite: a fuzzy logic control library in Python

jfuzzylite: a fuzzy logic control library in Java

A soft computing method based web project which helps in predicting the disease based on the symptoms of the patient. Also informs the patients about nearby doctors availability and precautions to be taken. The heart of the project is Fuzzy Logic , a soft computing technique which makes use of knowledge base made by the experts(doctors in this c…

(Code) A new workload prediction model using extreme learning machine and enhanced tug of war optimization

CSC703: Artificial Intelligence and Soft Computing [AISC] & CSL703: Artificial Intelligence and Soft Computing Lab [AISC Lab] <Semester VII>

A soft computing method based web project which helps in predicting the disease based on the symptoms of the patient. Also informs the patients about nearby doctors availability and precautions to be taken. The heart of the project is Fuzzy Logic , a soft computing technique which makes use of knowledge base made by the experts(doctors in this c…

It's a Java-based application that provides functions and tools for designing and simulating fuzzy logic systems. It offers a user-friendly interface for creating and testing fuzzy logic systems by allowing users to define and configure input variables, output variables, membership functions, rules, and defuzzification methods.

Meta-Heuristic Algorithm for Travelling Salesman Problem

This repository contains a C++ program that solves the Knapsack Problem using a Genetic Algorithm. The Knapsack Problem is a classic optimization problem where we aim to maximize the total value of items to be packed in a knapsack, given the knapsack's weight capacity and a set of items with their respective weights and values.

Project for the subject Soft computing

This program implements a genetic algorithm for curve fitting using a polynomial equation. The goal is to find the best coefficients for the polynomial equation that minimize the distance between the curve and a given set of data points. The genetic algorithm is used to search for the optimal solution by evolving a population of candidate solutions

Implementation of Online Sequential Extreme Learning Machine

This is a hybrid intelligent sampling technique to tackle class-imbalance in real world datasets. To know more about it please refer the link: https://www.sciencedirect.com/science/article/pii/S1568494619300924. Cite our paper, if you are using it in your research work. The citation of our paper is: Susan, Seba, and Amitesh Kumar. "SSOMaj-SMOTE-…

A Jupyter Notebook stack for example business analytics cases + a simulation study

SOFT COMPUTING TECHNIQUES PROJECTS ARCHIVE

Soft Computing Project by Shoffiyah (140810160057) and Patricia (140810160065).

📈 Desktop app for testing and ploting fuzzy operators