Fuzzy SVM vs Regular SVM

This project implements and compares two types of Support Vector Machines (SVM):

• FuzzySVM: A custom SVM with fuzzy membership values for more flexible classification.
• MSVC: A regular (classic) SVM with polynomial kernel support.

Requirements

• Python 3.x
• Libraries: numpy, scipy, sklearn, matplotlib

Install the dependencies:

pip install numpy scipy scikit-learn matplotlib