This project is divided into 4 parts:

• Interval type-1 fuzzy inference system with crisp inputs: https://github.com/ChetanSinha/Python-Type1-Fuzzy-Inference-System

• Interval type-2 fuzzy inference system with crisp inputs: https://github.com/ChetanSinha/Python-Interval-Type2-fuzzy-inference-system

• Interval type-2 fuzzy inference system with type-1 non-singleton inputs: https://github.com/ChetanSinha/Interval-Type2-Fuzzy-Inference-System-with-Type1-non-singleton-inputs

• Interval type-2 fuzzy inference system with type-2 inputs: https://github.com/ChetanSinha/Interval-Type2-Fuzzy-Inference-System-with-Type2-inputs

Type-1_Fuzzy_Inference_System

This repo has python implementation for Type 1 Fuzzy Inference System concepts with 2 Antecedents and 1 Consequent.

Type1_FuzzySystem_Func.py: Contains all the functions used to perform the implementation of Type 1 Fuzzy Inference System

Type1_FuzzySystem_Main.py: Contains the prototype(or format) for main function. The example used in this main.py is of Antecedents as Weight, Height and Consequent as Fitness Level.

Description

This repo has Python Implementation of Type 1 Fuzzy Inference System with crisp inputs.

Requirements

• Python 3.4+
• numpy
• matplotlib
• skfuzzy

Installation

• numpy: pip install numpy in cmd or powershell(Windows)/ terminal(linux)
• matplotlib: pip install matplotlib in cmd or powershell(Windows)/ terminal(linux)
• skfuzzy: pip install scikit-fuzzy in cmd or powershell(Windows)/ terminal(linux)

Lower Membership Function

The skfuzzy_lmf package contains the implementation of Lower membership function with a upper bound(or height).

Contact

• Name: Chetan Sinha
• Email ID: chetan99sinha@gmail.com