A system to calculate ice production efficiently using the tsukamoto fuzzy method. This system will calculate how many efficient results to calculate production with a predetermined algorithm.

As the Fullstack Developer for Fuzzy Tsukamoto Calculator, I developed a web-based system designed to calculate optimal ice production using the Fuzzy Tsukamoto method. The goal of this project was to apply fuzzy logic principles to real-world production forecasting—helping users determine the most efficient output levels based on predefined variables and conditions.

I was responsible for building both the frontend and backend, ensuring that complex mathematical logic was presented through a simple and intuitive interface. The frontend, developed with Next.js and Tailwind CSS, focuses on clarity and usability—allowing users to input key parameters and visualize the calculated results instantly.

On the backend, I implemented the Tsukamoto fuzzy algorithm using Node.js, storing data and configurations in a MySQL database to ensure flexibility and reusability. The system performs rule evaluation, defuzzification, and real-time computation to produce accurate and consistent results.

This project demonstrates the integration of mathematical modeling and web technology, turning a traditionally manual calculation process into an interactive and efficient digital tool for production decision-making.