PENYELESAIAN MASALAH TRANSPORTASI DALAM FUZZY PYTHAGORAS DENGAN METODE ZERO POINT

Abstract

This article discusses proposes a fuzzy Pythagoras approach with the zero point method for solving transportation problems with uncertain data. The approach combines fuzzy logic and the Pythagorean theorem to optimize resource allocation in transportation systems. The zero point method is utilized to find optimal solutions by considering the membership levels in fuzzy sets. This approach enables the resolution of transportation problems with uncertain data variations. Through the steps of fuzzy modeling and the application of the zero point method, the approach provides optimal solutions that account for uncertainty. The fuzzy Pythagoras approach with the zero point method can be employed for improved decision-making in the planning and management of efficient transportation systems. By utilizing this approach, it is anticipated that decision efficiency and quality can be enhanced in complex transportation contexts.