In the highly competitive field of product management, accurately determining production quantity is crucial for balancing market demand with inventory levels. Overproduction can lead to excessive inventory, while underproduction can reduce sales turnover. The Tsukamoto fuzzy inference system is designed to calculate the production quantities based on the demand and supply data.

The system operates with two independent variables, demand and supply, and generates a single dependent variable, production. By calculating a weighted average of all rule outputs, the Tsukamoto inference system represents the production quantity as a crisp real number, eliminating the need for defuzzification function.

A MATLAB-based interface was for Tsukamoto fuzzy inference system developed to effectively determine the production quantities. It allows for real-time data input and users can simply press the “PROCESS” button. The inference results demonstrate good accuracy, with a Mean Absolute Percentage Error (MAPE) = 10.73%.