A Python application for interactively plotting and visualizing various types of fuzzy sets using Matplotlib. It provides a terminal-based interface to select a fuzzy set "family" (e.g., Type-1, Type-2, Intuitionistic) and a base "shape" (e.g., Gaussian, Triangular), then launches an interactive plot with sliders to control all parameters.

• Multiple Fuzzy Families: Visualize classic (Type-1), Type-2, Intuitionistic, Pythagorean, Picture, Spherical, and Neutrosophic sets.
• Various Membership Functions: Supports Gaussian, triangular, trapezoidal, gbell, sigmoid, s-shape, z-shape, pi-shape, and more.
• Fully Interactive: All parameters for both the shape (e.g., center, sigma) and the family (e.g., nu_scale, unc_umf) are controllable via Matplotlib sliders.
• Dual View: Renders both a standard 2D plot and a 3D surface plot.
• Terminal UI: Clean, color-coded terminal menu for selecting the plotter and set type.

• numpy
• matplotlib
• scipy

1. Clone the repository:

   git clone https://github.com/electr1fy0/grapho.git
   cd grapho

2. Install the dependencies:

   # Create a virtual environment (optional but recommended)
   python -m venv venv
   
   # Activate it
   # On Windows:
   .\venv\Scripts\activate
   # On macOS/Linux:
   source venv/bin/activate
   
   # Install the required packages
   pip install numpy matplotlib scipy

Run the main Python script:

python main.py

• Type-1: Standard fuzzy set with one membership function μ(x).
• Type-2: Interval Type-2 set defined by an Upper Membership Function (UMF) and a Lower Membership Function (LMF).
• Intuitionistic (IFS): Defined by membership μ(x) and non-membership ν(x), constrained by μ(x) + ν(x) ≤ 1.
• Pythagorean (PFS): Defined by μ(x) and ν(x), constrained by μ(x)² + ν(x)² ≤ 1.
• Picture (PFS): Defined by μ(x) (membership), η(x) (neutral), and ν(x) (non-membership), constrained by μ(x) + η(x) + ν(x) ≤ 1.
• Spherical (SFS): Defined by μ(x), η(x), and ν(x), constrained by μ(x)² + η(x)² + ν(x)² ≤ 1.
• Neutrosophic (SVNS): Single-Valued Neutrosophic Set defined by independent T(x) (truth), I(x) (indeterminacy), and F(x) (falsity) components, constrained by 0 ≤ T(x) + I(x) + F(x) ≤ 3.

• gaussian
• triangular
• trapezoidal
• gbell (Generalized Bell)
• sigmoid
• s (S-shape)
• z (Z-shape)
• pi (Pi-shape, composed of S and Z)
• exponential
• polynomial